1 Conceptual Modeling Jobs nearby Mysore

As a Mechanical Design Engineer at Optimum Data Analytics, you will be part of a strategic technology partner delivering reliable turn-key AI solutions. Our streamlined approach to development ensures high-quality results and client satisfaction, bringing experience and clarity to organizations to power every human decision with analytics & AI. Key Responsibilities: - Utilize your 8+ years of experience in mechanical design engineering, preferably in low-volume, high-mix manufacturing environments. - Apply strong conceptual and practical knowledge of mechanical engineering principles to drive innovation. - Demonstrate expertise in CAD tools such as SolidWorks, Creo, and other 3D modeling software. - Design a variety of components including plastics, sheet metal, and machined/solid metal with precision and creativity. - Apply your knowledge of production processes, tooling, jigs, and fixtures to optimize manufacturing operations. - Implement DFM/DFA principles, conduct tolerance analysis, and assist in material selection processes. Qualifications Required: - 8+ years of experience in mechanical design engineering in relevant manufacturing environments. - Strong conceptual and practical knowledge of mechanical engineering principles. - Expertise in CAD tools such as SolidWorks, Creo, and other 3D modeling software. - Experience in designing plastics, sheet metal, and machined/solid metal components. - Knowledge of production processes, tooling, jigs, and fixtures. - Familiarity with DFM/DFA, tolerance analysis, and material selection processes. Optional Skills: - Hands-on experience with mechanical simulations (FEA, stress analysis, motion studies) and thermal design/analysis. - Familiarity with PLM or CAD data management tools is a plus. Join us at Optimum Data Analytics to revolutionize how AI/ML is approached in the service sector and deliver outcomes that truly matter. Be a part of our team that provides best-in-class services to increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their objectives.,

Job Description We are seeking an experienced Data Modeler with 4 to 9 years of experience to join our team.The ideal candidate will be responsible for designing implementing and supporting data structures that ensure data integrity and facilitate accurate timely information retrieval. The Data Modeler will work closely with analysts architects and database developers to design datasets that align with business requirements and technical constraints. Responsibilities Design and implement data models to support business requirements ensuring consistency and integration across various data sources. Develop and maintain conceptual logical and physical data models optimizing them for performance scalability and ease of use. Collaborate with stakeholders to identify data requirements and translate them into technical specifications. Ensure data models align with the organizations data architecture and data governance standards. Design and implement data integration processes using ETL extract transform load tools and technologies ensuring data quality and completeness. Work with database administrators to ensure database designs support business needs and are optimized for performance. Maintain and update data dictionaries metadata repositories and data modeling documentation. Troubleshoot and resolve issues related to data quality integration and model design. Provide guidance and mentorship to junior team members as needed. Stay current with industry best practices and emerging trends in data modeling and data architecture. Requirements 2 to 5 years of experience in developing data pipelines and solutions using Azure Data Factory ADF Azure Synapse Analytics and Databricks Strong proficiency in SQL TSQL and familiarity with Azure SQL Database andor Azure Synapse Analytics SQL pools Experience with ADF pipeline orchestration and data ingestion from various sources such as databases APIs and file systems Knowledge of Spark and Databricks for data processing transformations and data analytics Familiarity with data modeling and schema design in Azure Synapse and Azure SQL Databases Understanding of data integration data warehousing and ETL concepts Proficiency in Azure cloud services and infrastructure particularly related to data processing and analytics Strong problemsolving and troubleshooting skills Qualifications Bachelors degree in Computer Science Information Technology or a related field 4 to 9 years of experience in data modeling data architecture or related areas Proficiency in data modeling tools such as ERStudio Erwin or similar Strong understanding of relational databases data warehousing concepts and SQL Experience with big data technologies and platforms Hadoop Spark NoSQL databases is a plus Strong analytical problemsolving and communication skills Ability to work collaboratively in a team environment and with crossfunctional stakeholders Experience in AgileScrum development environments is advantageous

Role Overview: You will be responsible for defining and developing Enterprise Data Structure along with Data Warehouse, Master Data, Integration, and transaction processing with a focus on maintaining and strengthening the modeling standards and business information. Key Responsibilities: - Partner with business leadership to provide strategic recommendations for maximizing the value of data assets and protecting the organization from disruptions while embracing innovation - Assess benefits and risks of data using tools like business capability models to visualize the most crucial data for the organization based on the defined business strategy - Create data strategy and road maps for Reference Data Architecture as required by clients - Engage stakeholders to implement data governance models and ensure compliance with Data Modelling standards - Oversee frameworks to manage data across the organization - Collaborate with vendors to ensure integrity and system configuration - Develop high-level data migration plans to transition data from source to target systems - Collect, aggregate, match, consolidate, quality-assure, persist, and distribute data throughout the organization for consistency and accuracy - Provide solutions for RFPs from clients and ensure implementation assurance - Build enterprise technology environment for data architecture management - Develop, maintain, and implement standard patterns for data layers, data stores, and data management processes - Implement best security practices across all databases - Enable Delivery Teams by providing optimal delivery solutions and frameworks - Build and maintain relationships with delivery and practice leadership teams - Define database physical structure, functional capabilities, security, backup, and recovery specifications - Monitor system capabilities and performance, integrate new solutions, and troubleshoot errors - Identify technical, process, structural risks, and prepare risk mitigation plans - Ensure quality assurance of architecture or design decisions and provide technical support to delivery teams - Recommend tools for reuse and automation for improved productivity - Support pre-sales team in presenting solution design to clients and negotiating requirements Qualifications Required: - Strong experience in data architecture, data modeling, and data management processes - Knowledge of data governance, data migration, and data integration - Experience in database architectures, design patterns, and relational data modeling - Ability to build and maintain relationships with key stakeholders - Strong problem-solving and analytical skills - Excellent communication and presentation skills - Bachelors degree in Computer Science, Information Technology, or related field preferred (Note: Additional details of the company were not found in the provided job description),

Role Overview: Join Cisco's modern Manufacturing Data & Analytics team, a group of innovators dedicated to redefining manufacturing operations through data-driven digital twin solutions. Collaborate closely with business architects, engineers, and manufacturing leaders to deliver actionable insights, process optimization, and measurable value across global supply chain and manufacturing environments. Demonstrate sophisticated analytics, integration, and simulation to drive operational excellence and power Cisco's digital transformation. Key Responsibilities: - Own the design, development, and deployment of sophisticated analytics and automation solutions for B2B Manufacturing and Supply Chain Operations - Architect and implement secure, enterprise-grade access to AI and analytics capabilities - Coordinate with Business Architects, engineering, and B2B partners to capture detailed data, reporting, analytics, and audit requirements - Design, develop, and supervise KPIs for partner audits, system performance audits, partner performance audits, and manufacturing operations audits - Enforce industry standards and best practices for data architecture, modeling, visualization, documentation, and audit processes - Analyze business and engineering requirements, and build conceptual models for end-to-end B2B data integration and business intelligence solutions - Architect, implement, and maintain B2B integration frameworks using RosettaNet PIPs and standards - Translate business and technical needs into actionable specifications for B2B analytics, reporting, and audit projects - Leverage and develop data marts; compose presentation layer views for supplier partnership, partner performance tracking, and manufacturing BI insights - Use business intelligence and visualization tools to deliver actionable insights and audit findings from B2B transactions - Generate analytics and reports from warehouse and operational data to support decision-making, performance monitoring, and audit compliance - Evaluate, troubleshoot, and improve existing B2B data integration, BI, and audit assets - Handle full project lifecycle, including change management, testing, and production migration for B2B manufacturing analytics and audit solutions - Support database architects and developers in building data warehousing and integration systems - Create and maintain comprehensive technical specification, process, and audit documentation - Develop end-user training materials for analytics and audit tools, tailored to manufacturing partners and global suppliers Qualifications Required: - Demonstrated ability (7-10 years) in implementing and integrating data and business intelligence, with 3-5 years specifically in Supply Chain Operations, Digital Twin Implementation, and Semiconductor Manufacturing - Bachelors degree or equivalent experience in data science, Engineering, Computer Science, or a related field - Proficient in data analysis languages (Python, R, SQL) and BI/visualization platforms - Solid understanding of B2B manufacturing operations, global supplier data flows, integration standards, and audit/KPI methodologies Note: The Job Description does not contain any additional details about the company.,

As a Data Modeler at Quantiphi, you will play a crucial role in designing and implementing data models for various applications such as Data Warehouse, Data Lake, DataMart, OLTP, and OLAP systems. Your responsibilities will include: - Utilizing your strong Conceptual, Logical, and Physical Data Modeling skills to create data mapping documents, write functional specifications, and design Entity-Relational, Data Vault, and Dimensional Data models. - Collaborating with the Data Management team to perform Data Extraction, Data Analysis, Data Cleansing, and Data Profiling using tools like Erwin, ER/Studio, and Informatica Analyst. - Recommending the best modeling approach to clients based on their requirements and target architecture. - Analyzing datasets, guiding the team in creating Source to Target Mapping and Data Dictionaries, and profiling data sets to generate insights. - Defining Data Modelling Best Practices and ensuring their implementation across projects. - Optimizing Data Models, defining ingestion logic, ingestion frequency, and data consumption patterns. - Working with the Quality Engineering team to devise the right testing strategy and drive automation in modeling activities. - Collaborating with stakeholders, architects, and analysts to design and develop the next-generation data platform. - Managing data modeling repository, supporting model-driven development, and defining/governing data modeling/design standards and best practices. In addition to the above responsibilities, you will need to possess the following required skills: - 10+ years of experience in hybrid data environments involving distributed and relational database technologies like Oracle, IMB DB2, and GCP. - Thorough understanding of data warehousing principles, architecture, and implementation in complex environments. - Expertise in OLTP, OLAP systems, Data Analysis, ETL tools, and data ingestion frameworks. - Experience in designing complex Dimensional data models, testing methodologies, and user acceptance testing. - Familiarity with cloud platforms such as AWS, Azure, GCP, Data Quality, Data Governance, and Industry Data Models. - Leadership experience with large teams, handling large datasets, agile methodology, and excellent communication skills. - Exposure to Data Modeling Tools like Erwin, Power Designer, ER/Studio, Enterprise Architect, and MagicDraw. Your role at Quantiphi will involve not only designing data models but also collaborating with various teams, driving projects to completion, and ensuring data integrity and governance. Your expertise will be instrumental in shaping the data architecture and analytics solutions for the company's clients.,

As a Cloud Data Architect at our company, you will be responsible for designing, implementing, and managing robust, scalable, and cost-effective cloud-based data architectures on Google Cloud Platform (GCP). Your expertise will be crucial in leveraging services like BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer. Additionally, experience in designing cloud architectures on Oracle Cloud is considered a plus. Key Responsibilities: - Develop and maintain conceptual, logical, and physical data models to support various business needs. - Design and implement solutions for processing large datasets using technologies such as Spark and Hadoop. - Establish and enforce data governance policies, including data quality, security, compliance, and metadata management. - Build and optimize data pipelines for efficient data ingestion, transformation, and loading. - Monitor and tune data systems to ensure high performance and availability. - Work closely with data engineers, data scientists, and other stakeholders to understand data requirements and provide architectural guidance. - Stay current with the latest technologies and trends in data architecture and cloud computing. Qualifications: - In-depth knowledge of GCP data services, including BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer. - Expertise in data modeling techniques and best practices. - Hands-on experience with Spark and Hadoop. - Proven ability to design scalable, reliable, and cost-effective cloud architectures. - Understanding of data quality, security, compliance, and metadata management. - Proficiency in SQL, Python, and DBT (Data Build Tool). - Strong analytical and problem-solving skills. - Excellent written and verbal communication skills. - A Bachelor's degree in Computer Science, Computer Engineering, Data or related field, or equivalent work experience required. - GCP Professional Data Engineer or Cloud Architect certification is a plus. Please note that this is a full-time position and the work location is in person.,

Role Overview: As a database administrator (DBA) at our company, your primary responsibility will be to ensure the performance, integrity, and security of our database. You will play a key role in the planning and development of the database, as well as troubleshooting any issues on behalf of the users. Your work will directly impact the consistency of data across the database, the clarity of data definitions, and ensuring that users can access data concurrently in a manner that meets their needs. Additionally, you will be responsible for implementing data security measures and recovery controls to ensure all data is retrievable in case of emergencies. Key Responsibilities: - Establish the needs of users and monitor user access and security - Monitor performance and manage parameters to provide fast responses to front-end users - Map out the conceptual design for a planned database - Consider both back-end organization of data and front-end accessibility for end-users - Refine the logical design for translation into a specific data model - Further refine the physical design to meet system storage requirements - Install and test new versions of the database management system (DBMS) - Maintain data standards, including adherence to the Data Protection Act - Write database documentation, including data standards, procedures, and definitions for the data dictionary (metadata) - Control access permissions and privileges - Develop, manage, and test backup and recovery plans - Ensure storage and archiving procedures are functioning correctly - Carry out capacity planning - Work closely with IT project managers, database programmers, and multimedia programmers - Communicate regularly with technical, applications, and operational staff to ensure database integrity and security - Commission and install new applications and customize existing applications to fit their purpose - Manage the security and disaster recovery aspects of the database Qualifications Required: - Proven experience as a database administrator or in a similar role - Strong understanding of database management systems (DBMS) - Knowledge of database design and data modeling - Familiarity with data backup, recovery, and security protocols - Hands-on experience with database standards and end-user support Please note that for more information about our company, you can visit our website at https://www.sirmaglobal.com/,

Role Overview: As a Databricks Architect at NTT DATA, you will lead the design and implementation of scalable, secure, and high-performance data solutions using the Databricks Lakehouse Platform. Your focus will be on leveraging Databricks unified analytics capabilities to build enterprise-grade data platforms that support advanced analytics, machine learning, and real-time data processing. Key Responsibilities: - Define and own the end-to-end architecture of data platforms built on Databricks, including ingestion, transformation, storage, and consumption layers. - Design and implement Lakehouse architectures using Delta Lake, Unity Catalog, and structured streaming. - Architect scalable ETL/ELT pipelines using Apache Spark, PySpark, and Databricks Workflows. - Lead the integration of Databricks with enterprise systems such as data catalogs, data quality frameworks, ML platforms, and BI tools. - Guide teams in implementing CI/CD pipelines, version control, and automated testing for Databricks notebooks and jobs. - Collaborate with data scientists, engineers, and business stakeholders to support ML model lifecycle management using MLflow. - Provide technical leadership in performance tuning, cost optimization, and cluster configuration. - Stay current with Databricks innovations and advocate for adoption of new features and capabilities. Qualifications Required: - Bachelors or Masters degree in Computer Science, Software Engineering, Information Technology, or related field required. - 10+ years of experience in data architecture and engineering, with 5+ years in Databricks and Apache Spark. - Deep expertise in Delta Lake, structured streaming, PySpark, and SQL. - Strong understanding of Lakehouse architecture, data mesh, and modern data stack principles. - Experience with Unity Catalog, Databricks Repos, Jobs API, and Workflows. - Familiarity with cloud platforms (Azure, AWS, GCP) and their integration with Databricks. - Experience with data modeling, dimensional modeling, and temporal data structures. - Experience with CI/CD, DevOps, and infrastructure-as-code tools (Terraform, GitHub Actions, Azure DevOps). - Knowledge of machine learning lifecycle, MLflow, and model deployment strategies. - An understanding of E-R data models (conceptual, logical, and physical). - Strong analytical skills, including a thorough understanding of how to interpret customer business requirements and translate them into technical designs and solutions. - Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions, roles and able to interact effectively with all levels. - Strong problem-solving skills. Ability to identify where focus is needed and bring clarity to business objectives, requirements, and priorities.,

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. In this role as part of the Financial Planning and Analysis (FP&A) team at Target, you will play a crucial role in compiling and analyzing Target's long-term financial strategy. Your key responsibility will be to work with different teams within FP&A / Finance to draw out key insights and drive new analytics around various areas of the business. You will analyze business performance, support decision-making by providing stakeholders with meaningful insights, and generate insights into business performance to help drive improved financial results. **Key Responsibilities:** - Work with different teams within FP&A / Finance to draw out key insights and drive new analytics around different areas of the business - Analyze business performance and support decision-making by providing stakeholders with meaningful insights - Generate insights into business performance to help drive improved financial results - Use data extraction tools to extract and manipulate large amounts of data - Build scenarios, plug and play models, what-if analysis to simulate the financial impacts of various operational decisions - Develop, model, and apply analytical best practices using new and emerging technologies - Drive a continuous improvement mindset by seeking out efficient ways to solve problems - Develop and analyze financial reports, dashboards, and data validations **Qualifications Required:** - 2-5 years of relevant experience as a Financial Analyst, Data Analyst, or Business Analyst - Educational backgrounds: B.E/B.Tech, M.Tech, M.Sc., MCA, B.Com / M.Com, CA, MBA, CMA, CWA - Basic understanding of statistical analysis, understanding forecasting/predictive modeling, etc. - Advanced SQL experience writing complex queries - Experience with analytics tools such as Hadoop, Hive, Spark, Python, R, Domo, and/or equivalent technologies is an added advantage - Strong analytical, problem-solving, and conceptual skills - Demonstrated ability to work with ambiguous problem definitions, recognize dependencies, and deliver solutions - Excellent communication skills with the ability to speak to business and finance leaders and translate ideas between them - Intellectually curious, high energy, and a strong work ethic - Comfort with ambiguity and open-ended problems in support of Finance This position will report to the Senior Manager, FP&A (Target India) and will partner with Finance teams in India as well as Global FP&A teams based out of Minneapolis.,

As a Model Risk Program Analyst in Model Risk Governance & Review at JPMorganChase, you will be responsible for conducting review and governance activities related to Compliance Anti-Money Laundering and KYC. Your role will involve assessing risks associated with models used for sanctions screening, trade surveillance, and transaction monitoring within Compliance. You will be expected to perform independent testing, develop benchmarking tools, and monitor the performance of the models. Additionally, you will leverage your technical expertise to assess the conceptual soundness of data-driven compliance models and identify emerging model risks. Key Responsibilities: - Perform model reviews: Analyze the conceptual soundness of compliance models and assess their behavior and suitability in the context of usage. - Guide on model usage and serve as the primary point of contact for the business regarding new models and changes to existing models. - Develop and implement alternative model benchmarks, compare outcomes of various models, and design model performance metrics. - Collaborate with model developers, users, and compliance groups, providing guidance on model risk. - Evaluate model performance regularly and execute model governance activities such as Ongoing Performance Monitoring. Qualifications Required: - 0-2 years of experience in a quantitative modeling role, such as Data Science, Quantitative Model Development, Model Validation, or Technology focused on Data Science. - A PhD or Masters degree in a quantitative field such as Mathematics, Physics, Engineering, Computer Science, Economics, or Finance. - Strong verbal and written communication skills to interact with various functional areas in the firm on model-related issues and produce high-quality technical reports. - Deep understanding of standard statistical techniques like regression analysis. - Hands-on experience with standard Machine Learning models, including Boosted Trees, Neural Networks, SVM, and LLM (e.g., BERT). - Experience working with dedicated ML packages like TensorFlow, data processing, and numeric programming tools (NumPy, SciPy, Pandas, etc.). - Ability to implement benchmarking models in Python or equivalent. - Risk- and control-oriented mindset with the ability to ask incisive questions, assess the materiality of model issues, and escalate them appropriately. - Capability to thrive in a fast-paced, results-driven environment. In this role, you will be part of a global team of modeling experts within the Risk Management and Compliance organization at JPMorganChase. The team focuses on conducting independent model validation and governance activities to help identify, measure, and mitigate Model Risk. The objective is to ensure that models are fit for purpose, used appropriately within the business context, and that model users are aware of limitations and potential impacts on business decisions.,

Role Overview: As a Capability Manager at HCL Technologies in Bangalore, you will be responsible for engaging with your team members to focus on their career development and competency growth. Your role will involve promoting a positive work culture that includes rewards and recognitions to enhance employee retention. Additionally, you will play a crucial part in supporting business growth by managing headcount increase, demand fulfillment, and fulfillment through demand management and fulfillment. Key Responsibilities: - Interface with internal and external customers regarding mechanical issues for specific projects. - Establish standards across all operational processes. - Conduct appraisal reviews and periodic performance reviews of reports. - Set, monitor, and review CDP for reports. - Build capability and capacity to meet present and future demand. - Act as the primary touchpoint to enhance employee experience. - Monitor and control business parameters under your purview. - Manage demand fulfillment and supply management both internally and externally. - Support solution-led business growth and provide POC or value creation support. - Participate in organizational initiatives, recruitment, and NV plans. - Engage with industry and institution stakeholders. - Represent HCL in events and conferences. - Contribute to standards bodies and open-source projects. Qualification Required: - BE/ B.Tech (Mechanical Engg/Equivalent.) / ME / M.Tech with any Mechanical Engg related specialization. - 12 to 18 years of experience in Product Design & Development, preferably within Semiconductor, Medical, and Aerospace domains. Additional Details: The Capability Manager should possess knowledge of designs of mechanical systems, equipment, and packaging, preferably in vacuum and gas flow systems. You will also need to demonstrate expanded conceptual knowledge in your discipline, understand key business drivers, and have strong skills in change management, problem solving, communication, and project management. Additionally, proficiency in CAD tools like UG/NX & Creo, as well as domain experience in the SEMI/SPM Industry, will be beneficial for this role.,

Role Overview: As a Data Architect at 66degrees, you will be responsible for designing, developing, and maintaining the google cloud data architecture. Your expertise in data architecture, data engineering, and cloud technologies will be utilized to manage data across google cloud platforms efficiently. Key Responsibilities: - Design, implement, and manage robust, scalable, and cost-effective cloud-based data architectures on Google Cloud Platform (GCP), utilizing services like BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer. Experience in designing cloud architectures on Oracle Cloud is a plus. - Develop and maintain conceptual, logical, and physical data models to support various business needs. - Design and implement solutions for processing large datasets using technologies such as Spark and Hadoop. - Establish and enforce data governance policies, including data quality, security, compliance, and metadata management. - Build and optimize data pipelines for efficient data ingestion, transformation, and loading. - Monitor and tune data systems to ensure high performance and availability. - Collaborate closely with data engineers, data scientists, and stakeholders to understand data requirements and provide architectural guidance. - Stay updated with the latest technologies and trends in data architecture and cloud computing. Qualifications: - In-depth knowledge of GCP data services, including BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer. - Expertise in data modeling techniques and best practices. - Hands-on experience with Spark and Hadoop. - Proven ability to design scalable, reliable, and cost-effective cloud architectures. - Understanding of data quality, security, compliance, and metadata management. - Proficiency in SQL, Python, and DBT (Data Build Tool). - Strong analytical and problem-solving skills. - Excellent written and verbal communication skills. - A Bachelor's degree in Computer Science, Computer Engineering, Data or related field, or equivalent work experience required. - GCP Professional Data Engineer or Cloud Architect certification is a plus.,

In the role of Data Modeler in the Financial Services domain at LSEG (London Stock Exchange Group), you will play a crucial part in the Data Management & Strategy team. Your main task will involve designing and implementing conceptual, logical, and physical data models to enhance insights, mitigate risks, and ensure regulatory compliance within financial services platforms. A key aspect of your role will be collaborating with data architects, subject matter experts, and stakeholders to guarantee the scalability and high quality of data models. Your responsibilities will include: - Analyzing business and technical data requirements to create data models - Working with architects and SMEs to resolve issues in the existing architecture - Developing and maintaining source-to-target mappings reflecting business processes and data lineage - Ensuring governance activities align with enterprise standards - Supporting metadata management and integrating modeling practices into broader data architecture - Conducting model reviews and implementing enhancements based on stakeholder feedback To qualify for this role, you should have: - 5-10 years of hands-on data modeling experience, with a preference for experience in financial services or large-scale data migration programs - Strong understanding of Agile methodologies and the end-to-end project lifecycle - Solid knowledge of financial and investment domains, particularly market/reference data - Proficiency in creating and interpreting UML class diagrams, ERDs, and working with tools like Erwin, ER/Studio, Sparx Enterprise Architect, etc. - Familiarity with SQL, relational database systems (RDBMS), JSON, and/or XML - Capability to create and review logical models based on user stories and requirements - Ability to validate models for normalization, consistency, and correctness - Demonstrated understanding of business context in source-to-target mappings The London Stock Exchange Group (LSEG) is a global financial markets infrastructure business. By becoming a part of the Data Management & Strategy team, you will have the chance to work with a diverse range of data and collaborate with experts in the financial services domain to shape enterprise-wide data models.,

As a Water Resource Engineer at WSP, you will play a crucial role in managing comprehensive water resource management studies for mining projects. Your responsibilities will include: - Leading and managing studies from conceptual design through to implementation and optimization. - Utilizing advanced modelling and simulation tools to predict water-related risks and evaluate mitigation measures for clients. - Evaluating mine tailings dam integrity using computed aided models for dam break scenarios. - Conducting hydrological studies, including desk-based research, modeling, and data analysis with uncertainties. - Analyzing storms, undertaking hydraulic computations, and engaging in hydraulic simulations to estimate floods and assess risks. - Leading the design of water management infrastructure for mines, from feasibility studies to detailed engineering stages. - Providing technical expertise to junior engineers and contributing to knowledge sharing within the firm. - Preparing detailed reports, technical documentation, and presentations for clients. - Managing projects by composing reports and proposals, interacting with clients, and guiding staff members. Mandatory Skills: - Experience in flood related studies for environmental assessments, with a focus on Mining, Water, and Urban Development sectors. - Total experience of 10+ years. - Strong knowledge of hydrology, hydraulics, and water quality modelling. - Proficiency in software such as TUFLOW, ICM, HEC-RAS, and GIS programs. - Excellent analytical, problem-solving, and decision-making skills. - Effective communication and interpersonal skills for stakeholder collaboration. Desired Skills: - Track record of delivering water-related projects. - Technical expertise in civil/water resource engineering with a reputation in the market. - Experience in managing water resource engineers in a mining business context. - Ability to innovate and challenge the status quo. Qualifications: - Master/PhD degree in water resource engineering preferred. - Extensive professional experience of 10+ years in water resources engineering. - Experience in the International context is preferred. About WSP: WSP is a leading professional services consulting firm with a global presence. Our team of engineers, technicians, scientists, and specialists work on projects in various sectors to create lasting solutions for communities worldwide. With a focus on innovation and expertise, we aim to prepare cities and environments for the future. At WSP, you will have the opportunity to work on landmark projects, collaborate with experts, and shape your career in a flexible and agile work environment. We prioritize health, safety, and wellbeing, and are committed to fostering an inclusive and diverse workplace where every individual can make a positive impact. Join our team at WSP and be part of a community dedicated to creating a better future for all. Apply today.,

Role Overview: You will be joining Cisco's modern Manufacturing Data & Analytics team, working with a group of innovators dedicated to redefining manufacturing operations through data-driven digital twin solutions. Your role will involve collaborating closely with business architects, engineers, and manufacturing leaders to deliver actionable insights, process optimization, and measurable value across global supply chain and manufacturing environments. You will be passionate about demonstrating sophisticated analytics, integration, and simulation to drive operational excellence and power Cisco's digital transformation. Key Responsibilities: - Own the design, development, and deployment of sophisticated analytics and automation solutions for B2B Manufacturing and Supply Chain Operations, leveraging technologies such as Large Language Models (LLMs), prompt engineering, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG) architectures. Integrate these AI-powered workflows into existing processes to deliver robust insights and process automation. - Architect and implement secure, enterprise-grade access to AI and analytics capabilities by designing and implementing Role-Based Access Control (RBAC) across data, tools, and systems, ensuring compliance, data privacy, and appropriate authorization. - Coordinate with Business Architects, engineering, and B2B partners to capture detailed data, reporting, analytics, and audit requirements for Manufacturing and Supply Chain operations. - Design, develop, and supervise KPIs for partner audits, system performance audits, partner performance audits, and manufacturing operations audits. - Enforce industry standards and best practices for data architecture, modeling, visualization, documentation, and audit processes in a B2B and RosettaNet context. - Analyze business and engineering requirements, and build conceptual models for end-to-end B2B data integration and business intelligence solutions. - Architect, implement, and maintain B2B integration frameworks using RosettaNet PIPs for seamless communication with global suppliers and partners. - Use business intelligence and visualization tools to deliver actionable insights and audit findings from B2B transactions, supply chain, and partner ecosystem data. - Generate analytics and reports from warehouse and operational data to support decision-making, performance monitoring, and audit compliance in B2B manufacturing environments. - Evaluate, troubleshoot, and improve existing B2B data integration, BI, and audit assets for continuous improvement. - Handle full project lifecycle, including change management, testing, and production migration for B2B manufacturing analytics and audit solutions. - Support database architects and developers in building data warehousing and integration systems for B2B business intelligence, reporting, and audits. - Create and maintain comprehensive technical specification, process, and audit documentation. - Develop end-user training materials for analytics and audit tools, tailored to manufacturing partners and global suppliers. Qualifications Required: - Demonstrated ability (7-10 years) in implementing and integrating data and business intelligence, with specific experience in Supply Chain Operations, Digital Twin Implementation, and Semiconductor Manufacturing. - Bachelors degree or equivalent experience in data science, Engineering, Computer Science, or a related field; significant experience with B2B manufacturing analytics, RosettaNet solution architecture, and KPI-driven audit processes required. - Proficient in data analysis languages (Python, R, SQL) and BI/visualization platforms. - Solid understanding of B2B manufacturing operations, global supplier data flows, integration standards, and audit/KPI methodologies.,

Role Overview: Join a global team at JPMorgan Chase where your expertise in data management will help shape the future of Firmwide Chief Data Office. You will be at the center of keeping JPMorgan Chase strong, resilient, and forward looking. You will be part of a multi-year journey to achieve best-in-class data governance across the firm. As a Vice President in Firmwide Chief Data Office, you will work with global teams across a wide variety of stakeholders to define and implement processes and capabilities for data quality. The focus of this role will revolve around strengthening the firm's data quality framework by defining standards, procedures, playbooks, and assisting in building data quality tooling for measuring and reporting the data quality risk of the bank. You will analyze goals and requirements, assess options and risks, devise effective solutions, and oversee execution. We are looking for a motivated leader to join the team to realize personal success and foster team achievements. Key Responsibilities: - Coordinate across line of business CDO functions, Business, and Technology domains to define the approach and requirements for business and technical data quality controls. - Steer tooling development and capabilities to govern data quality controls and drive adoption within the CDO community. - Define scope and minimum requirements for business and technical data quality controls, and standard metrics/quality expectations for data elements that support critical business processes. - Promote a culture of data quality and accountability through stakeholder engagement, training, and consulting. - Drive and effectively collaborate in working groups and forums to represent Firmwide CDO perspective and requirements and influence convergence at the Firmwide level. Qualification Required: - Bachelors degree or equivalent experience in Finance, Economics, Information Systems, or other related disciplines. - 8 plus years of work experience across domains related to data management and financial services. - Effective in navigating the broader picture by applying strategic and creative thinking, while also demonstrating an in-depth view through strong analytical skills, meticulous attention to detail, and the ability to thoroughly investigate complex issues. - Strong interpersonal skills; ability to develop effective, credible relationships with colleagues as well as business and technology partners. - Excellent written and verbal communication skills and storytelling; ability to synthesize the right message to the level of the audience. - Strong knowledge of data quality-related policies and standards. - Familiarity with data management platforms that provide Data Quality controls (e.g., Informatica, Ataccama, etc.). Preferred Qualifications: - Finance-related Bachelors degree is preferred. - Experience with business intelligence solutions, such as Alteryx, Tableau, Qlikview, is a plus. - Conceptual understanding of relational databases, data modeling, and SQL will be advantageous.,

Role Overview: As a Senior Data Engineer / Data Architect at Goldman Sachs, you will serve as a technical leader and subject matter expert, responsible for defining, designing, and overseeing the implementation of enterprise-level data strategies, architectures, and solutions. Your role will involve managing complex data environments, aligning data initiatives with business objectives, and leading cross-functional teams to foster a data-driven culture. You will ensure data integrity, accessibility, security, and compliance across the organization's data assets. Key Responsibilities: - Lead the development and execution of the organization's overarching data strategy and architectural roadmap, including data governance frameworks, data modeling, data warehousing, data lakes, and real-time data platforms. - Architect and design highly scalable, robust, and fault-tolerant data pipelines and platforms for large-scale data ingestion, processing, storage, and consumption. - Define and implement comprehensive data governance policies, standards, and best practices to ensure data quality, consistency, security, privacy, and regulatory compliance. - Lead the design and maintenance of conceptual, logical, and physical data models for various data stores, optimizing for performance, scalability, and flexibility. - Continuously evaluate emerging data technologies, tools, and industry trends to recommend and lead their adoption, driving innovation and efficiency within the data landscape. - Proactively identify and resolve complex data-related performance bottlenecks, ensuring optimal performance and scalability of data platforms and solutions. - Provide expert technical guidance, mentorship, and leadership to data engineering and analytics teams, fostering best practices in data architecture and operational excellence. - Collaborate extensively with business stakeholders, product teams, software engineers, and IT operations to translate complex business requirements into effective data solutions. - Oversee the resolution of critical data-related incidents, perform root cause analysis, and implement preventative measures to ensure high availability and reliability of data systems. Qualifications: - 14+ years of progressive experience in Data Engineering, Data Architecture, or related roles. - Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related quantitative field. - Expert-level proficiency with major cloud providers and their data services. - Deep expertise in big data technologies such as Apache Spark, Hadoop, Kafka, and distributed processing systems. - Proven experience with data warehousing and data lake/lakehouse architectures. - Strong programming skills in languages commonly used in data engineering. - Extensive experience in designing, building, and optimizing complex ETL/ELT pipelines and data integration processes. - Mastery of various data modeling techniques and tools. - Strong understanding of various database technologies and data platforms. - Familiarity with IaC tools for managing data infrastructure. - Understanding and experience with DevOps, DataOps, and MLOps principles and practices. - Exceptional communication, presentation, and interpersonal skills. Preferred Qualifications: - Experience in specific industry domains. - Certifications in relevant cloud data platforms. - Experience with data visualization tools. - Familiarity with master data management and data quality tools. - Understanding of machine learning workflows and MLOps. Note: The above details are based on the job description provided by Goldman Sachs.,

You will be responsible for collaborating with business analysts and stakeholders to understand data requirements and business needs. Your role will involve designing and creating logical and physical data models to ensure efficient data storage, retrieval, and manipulation. Additionally, you will optimize data models for performance, scalability, and ease of use. Your expertise in utilizing Power BI's advanced features, such as DAX expressions, custom visuals, and Power Query, will be crucial in enhancing data visualizations and analytics capabilities. Developing visually appealing and interactive Power BI reports and dashboards to provide insights into key business metrics will also be a key responsibility. **Key Responsibilities:** - Collaborate with business analysts and stakeholders to understand data requirements and business needs. - Design and create logical and physical data models that ensure efficient data storage, retrieval, and manipulation. - Optimize data models for performance, scalability, and ease of use. - Utilize Power BI's advanced features, such as DAX expressions, custom visuals, and Power Query, to enhance data visualizations and analytics capabilities. - Develop visually appealing and interactive Power BI reports and dashboards that provide insights into key business metrics. - Integrate data from various sources into Power BI, ensuring data accuracy and consistency. - Implement Extract, Transform, Load (ETL) processes to transform and cleanse raw data from diverse sources into a unified format suitable for reporting and analysis. - Monitor and maintain data quality to guarantee accuracy and reliability in reporting and decision-making processes. - Collaborate with cross-functional teams to understand their data needs and provide timely solutions. - Communicate complex technical concepts to non-technical stakeholders in a clear and understandable manner. - Continuously analyze and fine-tune data models and queries to improve report loading times and overall system performance. - Document data models, data flows, and other technical aspects of the Power BI solutions. - Conduct training sessions and provide knowledge transfer to end-users and team members. **Qualifications and Skills:** - Bachelors or masters degree in computer science, Information Systems, or a related field. - 6+ years of experience as a Data Modeler, Data Architect, or similar role, with a focus on data platform design and modeling. - Strong expertise in data modeling techniques, including conceptual, logical, and physical data modeling. - Proficiency in Power BI and its various components, including Power Query, DAX, and Power BI Service. - Strong understanding of data modeling concepts and techniques, relational databases, and dimensional modeling. - Hands-on experience with Power BI and creating semantic layers for self-service reporting. - Experience with data integration and ETL tools, such as ADF, SSIS or other relevant platforms. - Solid SQL skills for data querying and manipulation. - Excellent analytical and problem-solving abilities. - Strong communication and collaboration skills to work effectively with cross-functional teams. - Familiarity with data visualization best practices and UI/UX design principles is a plus.,

As an SME in Mathematics, your role involves designing high-quality math content, developing structured learning resources, strengthening pedagogy across grade levels, and supporting teachers in delivering concept-driven, competency-based Mathematics learning aligned with CBSE standards. Key Responsibilities: - Develop detailed lesson plans, worksheets, assessments, and practice modules. - Create question banks, HOTS problems, and Olympiad/enrichment content. - Align all content with CBSE, NEP 2020 guidelines, and competency-based learning frameworks. - Design activity-based mathematical learning experiences. - Conduct teacher training on conceptual clarity, pedagogy, and problem-solving methods. - Support teachers with instructional planning and differentiation strategies. - Lead content review meetings and ensure uniform academic standards across classrooms. - Review math assessments for grade-appropriateness and alignment with learning outcomes. - Provide feedback on evaluation practices and ensure consistency in marking. - Analyze student performance data and recommend improvement strategies. - Integrate visual models, manipulatives, technology tools, and digital platforms to deepen understanding. - Design learning modules that strengthen reasoning, logical thinking, and real-world math application. - Create remedial and advanced learning pathways for diverse learners. - Maintain structured curricular documents, scope and sequence charts, and competency mapping. - Ensure alignment with CBSE guidelines, NEP 2020, and school-wide academic policies. Qualifications & Experience: - Masters Degree in Mathematics (M.Sc Mathematics). - B.Ed mandatory. - 3-6 years of experience in teaching or content development as an SME. - Strong conceptual clarity and deep knowledge of CBSE math curriculum. Skills & Competencies: - Expertise in Mathematics for middle and senior grades. - Strong curriculum design and academic writing skills. - Ability to simplify complex concepts and enhance conceptual understanding. - Strong communication, presentation, and training skills. - Familiarity with digital math tools, simulations, and ed-tech platforms. Your work expectations include collaborating with curriculum heads, teachers, and academic coordinators, conducting academic audits, training sessions as required, and demonstrating a commitment to quality, innovation, and continuous academic improvement.,

As a Data Modeler at our company, you will play a crucial role in designing and modeling data platforms. Your expertise in data modeling techniques, including conceptual, logical, and physical data modeling, will be essential for the success of our projects. You will need to have a Bachelor's or Master's degree in Computer Science, Information Systems, or a related field, along with 6+ years of experience in a similar role. Key Responsibilities: - Utilize your strong expertise in data modeling techniques to create effective conceptual, logical, and physical data models. - Demonstrate proficiency in Power BI and its various components, including Power Query, DAX, and Power BI Service. - Apply your hands-on experience with Power BI to create semantic layers for self-service reporting. - Collaborate with cross-functional teams to effectively work on data integration and ETL processes using tools such as ADF, SSIS, or other relevant platforms. - Utilize your solid SQL skills for data querying and manipulation to support various data modeling tasks. - Stay updated with data visualization best practices and UI/UX design principles to enhance the reporting experience. Qualifications Required: - Bachelor's or master's degree in Computer Science, Information Systems, or a related field. - 6+ years of experience as a Data Modeler, Data Architect, or similar role, with a focus on data platform design and modeling. - Strong expertise in data modeling techniques, including conceptual, logical, and physical data modeling. - Proficiency in Power BI and its various components, including Power Query, DAX, and Power BI Service. - Strong understanding of data modeling concepts and techniques, relational databases, and dimensional modeling. - Hands-on experience with Power BI and creating semantic layers for self-service reporting. - Experience with data integration and ETL tools, such as ADF, SSIS or other relevant platforms. - Solid SQL skills for data querying and manipulation. - Excellent analytical and problem-solving abilities. - Strong communication and collaboration skills to work effectively with cross-functional teams. - Familiarity with data visualization best practices and UI/UX design principles is a plus.,