101 Domain Modeling Jobs nearby Vellore

Job Title: Engineer Sheet Metal & BIW Design - ITC/E/20251104/19013 Location: Chennai Experience: 3+ Years Qualification: B.E CTC Range: 11,00,000 -  17,00,000 Job Type: Full-time Status: Open Posted On: 04-Nov-2025 Job Description We are looking for an experienced Engineer Sheet Metal & BIW Design who specializes in sheet metal design for automotive components. The ideal candidate will have hands-on expertise in CATIA V5, with strong capabilities in 3D modeling and 2D drafting. Key Responsibilities Design and develop sheet metal components for automotive domains including: Upper body Closures Underbody Cargo Body fittings Create accurate 3D models and 2D drawings using CATIA V5. Develop design concepts, perform feasibility checks, and create parametric models. Finalize subsystem designs ensuring alignment with styling, manufacturing, and performance requirements. Understand and apply knowledge of BIW material types, grades, and manufacturing processes. Ensure compliance with structural performance benchmarks and homologation requirements. Collaborate with cross-functional teams including manufacturing, styling, and validation teams. Required Skills Strong proficiency in CATIA V5. Expertise in Sheet Metal Design, 3D Modeling, and 2D Drawings. Solid understanding of BIW design, metal grades, and manufacturing standards. Ability to interpret engineering specifications and deliver high-quality design outputs. Good analytical and problem-solving skills. Nice-to-Have Skills Understanding of vehicle architecture and subsystem integration. Experience in automotive OEM/Tier 1 environments. About the Role This position offers the opportunity to work on advanced automotive designs and contribute to the development of high-quality BIW components. You will work closely with design, testing, and manufacturing teams to ensure robust product delivery.

Job Description SAP MDG Functional Consultant (5-10 Years Experience) We are looking for an experienced SAP MDG Functional Consultant with 5-10 years of hands-on expertise in delivering end-to-end SAP MDG solutions. The ideal candidate should have strong functional knowledge, excellent client-handling skills, and proven implementation experience across multiple master data domains. Responsibilities Lead and implement SAP MDG solutions for key master data objects such as Customer, Vendor, Material, Asset Master, and Finance. Drive requirement gathering sessions, process design, configuration, and solution blueprint creation. Set up and manage fully functional development, testing, and production environments for MDG C/V/M/F scope. Perform Process Modeling including: Entity Data Model, Business Activity Change, Request Types, Workflows, Edition Types, Relationships, and Data Replication Techniques (SOA services, ALE). Configure Key & Value Mapping, Data Transfer, Export/Import of Master Data, and data conversion activities. Activate and configure MDG modules/components across versions (EhP6, MDG 7.0/8.0; MDG 9.0 preferred). Collaborate with technical teams and provide solution recommendations aligned with project scope and client needs. Provide support during testing cycles (SIT, UAT), defect resolution, and deployment. Work closely with business stakeholders, ensuring high client satisfaction in every phase of the project. Required Skills & Experience 5-10 years of experience as an SAP MDG Functional Consultant. Hands-on experience with at least 2 full-cycle MDG implementations. Strong knowledge of ECC and/or S/4HANA environments. Good understanding of SAP ERP logistics modules (SD/MM), particularly master data. Excellent communication skills and proven experience working in client-facing roles.

Senior Snowflake Data Engineer Location: PAN India Experience: 8+ Years Skills: Snowflake, dbt, FiveTran, Snowpipe, AWS (MWAA, S3, Lambda), GitHub CI/CD Job Description We are looking for an experienced Senior Snowflake Data Engineer with strong expertise in modern data warehousing, cloud technologies, and ELT pipeline development. The ideal candidate should have deep hands-on experience in Snowflake, dbt, cloud environments, and CI/CD practices, with the ability to design scalable and efficient data solutions. Key Responsibilities Analyze, integrate, model, and interpret large and complex datasets from multiple sources. Design and implement ELT data pipelines using dbt with Snowflake as the primary cloud data warehouse. Build efficient and scalable data transformation pipelines using dbt at an advanced level. Work with ETL/ELT and data governance tools such as FiveTran and Alation. Utilize advanced Snowflake features such as RBAC, Dynamic Tables, and various optimization techniques. Ensure strong data modelling and warehousing practices across diverse database technologies. Manage orchestrations using Apache Airflow or AWS MWAA, along with CI/CD pipelines. Oversee continuous deployment, monitoring, and operations of data solutions using GitHub Actions, Terraform, and other DevOps tools. Collaborate with technical and non-technical stakeholders through effective communication. Contribute to building future-state Data Warehouse capabilities using cutting-edge technologies. Adapt and work efficiently within Agile methodology. Preferred Qualifications 2+ years of hands-on experience with Snowflake as a Cloud Data Warehouse and Data Lake platform. Strong understanding of cloud environments, especially AWS (S3, Lambda, MWAA). Airline industry domain experience is a plus.

*:first-child]:mt-0"> Design Engineer - Engine (Pune) Role: Design and develop engine components including crankcase, cylinder head, FEAD, valve train, and intake & exhaust systems. Create 3D models and detailed 2D drawings for manufacturing and collaborate with suppliers to finalize requirements. Key Responsibilities: Develop 3D CAD models and 2D engineering drawings for engine parts using design software Conduct design reviews and perform DFMEA to ensure quality and reliability of engine systems Collaborate with development team to address field failures and implement design improvements Coordinate with suppliers on manufacturing needs and specifications Requirements: B.Tech in Mechanical or related engineering discipline Strong skills in 3D modeling (e.g., Unigraphics) and knowledge of DFMEA processes Experience in engine systems design preferred  Location: Pune This concise JD focuses on core engine design duties, technical skills, and collaboration for quality and manufacturability in engine component development.     Related

As a Customer Data Engineer at our rapidly growing organization, your role is crucial in ensuring data accuracy, consistency, and integrity for customer insights. You will be responsible for building robust data pipelines, supporting customer data needs, and driving high data quality standards. Your passion for data and eagerness to learn will be key in delivering accurate and insightful data to drive business decisions effectively. **Key Responsibilities:** - **Data Pipeline Development**: Design and maintain data pipelines for analytics, BI reporting, and ML models, ensuring data readiness for advanced analytics. - **Advanced SQL Querying & Data Transformation**: Write and optimize complex SQL queries for data extraction, transformation, and analysis from multiple sources. - **Data Quality Assurance & Ownership**: Actively monitor data flows, troubleshoot issues, and ensure reliable, high-quality data for customer insights. - **Documentation & Continuous Improvement**: Document and refine data workflows to enhance processes and quality standards for customer data solutions. - **Cross-functional Collaboration & Communication**: Collaborate with data scientists, analysts, and engineers to support various data requirements and ensure seamless data integration. **Qualifications Required:** - Engineering degree in Computer Science, Data Science, or a relevant technical field. - 3-5 years of experience in analytics engineering or data engineering. - Strong proficiency in SQL, data transformation, and optimization. - Expertise in Python for building pipeline automation, logging, and debugging. - Knowledge of data modeling, schema design, and performance tuning. - Experience with data pipeline and ETL tools (e.g., Airflow, Prefect). - Familiarity with cloud data solutions (e.g., AWS, Azure, Google Cloud). - Exposure to Business intelligence tools (e.g., PowerBI, Tableau, Streamlit/Plotly) for data presentation. - Understanding of data science and machine learning principles and workflows. Joining our team also offers exposure to the Aviation and Maritime domains, connectivity, and content engineering, along with opportunities to work in cross-functional teams. We provide competitive health benefits, generous paid time off, performance-based bonuses, and the chance to collaborate across various teams and organizations.,

Role Overview: As an R&D Engineer at Valeo, you will play a crucial role in performing thermal simulation and CFD analysis for assigned projects to support product development. Your responsibilities will include defining simulation models, conducting simulations, interpreting results, and providing technical guidance to the design team. You will also be involved in optimizing simulation models, staying updated on advancements in thermal engineering, and contributing to the development of standard guidelines within the department. Key Responsibilities: - Perform thermal simulation/CFD analysis for assigned projects. - Define simulation models including geometrical modeling and material properties. - Conduct steady state or transient simulations based on project needs. - Interpret results and provide input to the design team for system performance improvement. - Automate simulations to reduce analysis time. - Optimize simulation models for faster convergence. - Stay updated on advancements in thermal engineering and apply them to improve simulation techniques. - Contribute to the development of standard guidelines & methodologies within the department. - Support other department activities such as process automation and data management. - Provide technical guidance to junior team members. Qualifications Required: - B.Tech./M.Tech. in Mechanical Engineering or Aerospace Engineering. - 4-8 years of experience in the thermal simulation domain. - Good knowledge of thermodynamics, heat transfer, and fluid mechanics. - Strong analytical and problem-solving skills. - Exposure to commercial CFD software (such as ICEM, FLUENT, COMSOL, etc.) is desirable. - Excellent verbal and written communication skills. Join Us! By becoming part of Valeo, you will be part of one of the largest global innovative companies with over 20,000 engineers in Research & Development. You will thrive in a multicultural environment that values diversity and international collaboration. With more than 100,000 colleagues across 31 countries, there are ample opportunities for career growth. Valeo is highly committed to limiting its environmental impact and has been ranked by Corporate Knights as the top company in the automotive sector for sustainable development. For more information on Valeo, visit https://www.valeo.com.,

As a skilled Developer with 4 to 6 years of experience specializing in Anaplan and possessing domain expertise in Order to Cash Accounts Receivable and Finance & Accounting, your role will be pivotal in enhancing financial operations and contributing to the company's success. The position is hybrid with no travel required, and you will work in a day shift. **Key Responsibilities:** - Develop and implement Anaplan models to optimize financial processes and enhance efficiency in Order to Cash operations. - Collaborate with cross-functional teams to gather requirements and translate them into effective Anaplan solutions. - Ensure accuracy and integrity of financial data within Anaplan models supporting Accounts Receivable functions. - Provide technical expertise in Anaplan to troubleshoot and resolve implementation issues. - Work closely with finance and accounting teams to streamline processes and improve data visibility. - Conduct regular reviews and updates of Anaplan models to meet evolving business needs. - Support end-users by offering training and guidance on Anaplan functionalities and best practices. - Participate in designing and executing test plans to ensure quality and performance of Anaplan solutions. - Monitor system performance, make recommendations for improvements, and analyze data. - Maintain documentation of Anaplan processes and configurations for future reference and compliance. - Collaborate with IT teams to integrate Anaplan with other enterprise systems for seamless data flow. - Stay updated with the latest Anaplan features and industry trends to enhance solutions continuously. - Contribute to the company's financial goals by delivering efficient and reliable Anaplan solutions. **Qualifications:** - Strong experience in Anaplan development and implementation. - Expertise in Order to Cash Accounts Receivable and Finance & Accounting domains. - Excellent problem-solving skills and attention to detail. - Proficiency in data analysis and financial modeling. - Solid understanding of business processes and financial operations. - Effective communication and collaboration skills. In addition, the position requires the following certification: - Anaplan Certified Model Builder,

Role Overview: As a Project Manager in AI & Data operations at Standard Chartered Bank, you will be responsible for managing projects, ensuring efficient project tracking, budget management, resource allocation, and effective communication on delivery. Key Responsibilities: - Coordinate internal resources and third parties/vendors for the flawless execution of projects. - Ensure timely delivery of projects within scope and budget. - Define project scope and objectives, involving all relevant stakeholders. - Manage resource availability and allocation. - Develop detailed project plans to monitor progress. - Manage changes to project scope, schedule, and costs. - Measure project performance and report to management. - Manage client and stakeholder relationships. - Perform risk management to minimize project risks. - Track project performance to analyze successful goal completion. - Meet budgetary objectives and adjust project constraints based on financial analysis. - Develop comprehensive project plans to share with stakeholders and staff. - Develop trackers, presentations, and process maps to document project needs. Qualifications Required: - Education: Bachelor's or master's degree in computer science, Information Technology, or a related field. Experience Required: - 10+ years of data analysis/project management experience with business and technical skills. - Proven working experience in project management. - Excellent client-facing and internal communication skills. - Solid organizational skills with attention to detail. - Project Management Professional (PMP) / PRINCE II certification is a plus. - Process Improvement, Effective Communication & Reporting, Performance Management, Planning, Developing, and Tracking Budgets. - Bachelor's Degree in appropriate field of study or equivalent work experience. Soft Skills Required: - Stakeholder engagement. - Strong communication and collaboration skills. - Ability to work independently and as part of a team. - Attention to detail and commitment to delivering high-quality work. Skills And Experience: - Banking business domain knowledge. - Basic SQL, Data Modeling. - Project management skills, Agile methodologies, SCRUM. *Note: Additional details about Standard Chartered Bank were not provided in the job description.*,

Role Overview: As a Power BI Lead with over 12 years of experience in insurance analytics and reporting, you will be responsible for designing and delivering scalable BI dashboards using cloud platforms and SQL-based data sources. Your expertise in the Property and Casualty Insurance domain will be crucial in providing valuable insights through data visualization. Key Responsibilities: - Design and develop BI dashboards to meet the reporting needs of stakeholders - Utilize SQL scripting for data modeling and validation of reports - Implement cloud-based data integration and visualization techniques - Engage with stakeholders to gather requirements and ensure alignment with business objectives - Drive agile delivery practices and automate reporting processes to enhance efficiency Qualifications Required: - 12+ years of experience in Power BI and insurance analytics - Proficiency in SQL scripting for data modeling and report validation - Experience in cloud-based data integration and visualization - Strong stakeholder engagement skills and ability to gather requirements effectively - Familiarity with Agile delivery practices and reporting automation - Nice-to-have skills include knowledge of Property and Casualty domain and Python scripting (Note: The additional details of the company were not explicitly mentioned in the job description provided.),

Role Overview: You should have hands-on experience in SAP MDG configuration and implementation across domains such as Customer, Vendor, Material, and Finance. Your strong expertise should lie in data modeling, UI modeling (FPM/ Web Dynpro), workflow, and BRF+ rules within SAP MDG. Additionally, you should be able to design, develop, and support custom enhancements and extensions using BADIs, User Exits, and BAPIs. It is crucial to have experience in data migration, consolidation, and validation processes to ensure high-quality master data. Knowledge of integration with SAP ECC, S/4HANA, and other SAP/non-SAP systems using ALE/IDoc, PI/PO, or APIs is necessary. You should be skilled in master data governance processes, data quality, and compliance with global standards. Collaboration with business stakeholders to gather requirements, design solutions, and ensure smooth delivery is an essential part of this role. Strong problem-solving, analytical, and client-handling skills are required, along with experience in AMS support as well as implementation projects. Key Responsibilities: - Hands-on experience in SAP MDG configuration and implementation across domains such as Customer, Vendor, Material, and Finance. - Strong expertise in data modeling, UI modeling (FPM/ Web Dynpro), workflow, and BRF+ rules within SAP MDG. - Design, develop, and support custom enhancements and extensions using BADIs, User Exits, and BAPIs. - Experience in data migration, consolidation, and validation processes to ensure high-quality master data. - Knowledge of integration with SAP ECC, S/4HANA, and other SAP/non-SAP systems using ALE/IDoc, PI/PO, or APIs. - Skilled in master data governance processes, data quality, and compliance with global standards. - Work closely with business stakeholders to gather requirements, design solutions, and ensure smooth delivery. - Strong problem-solving, analytical, and client-handling skills, with experience in AMS support as well as implementation projects. Qualifications Required: - Hands-on experience in SAP MDG configuration and implementation. - Strong expertise in data modeling, UI modeling, workflow, and BRF+ rules within SAP MDG. - Experience in custom enhancements and extensions using BADIs, User Exits, and BAPIs. - Knowledge of data migration, consolidation, and validation processes. - Familiarity with integration with SAP ECC, S/4HANA, and other SAP/non-SAP systems. - Skills in master data governance processes, data quality, and compliance with global standards. - Problem-solving, analytical, and client-handling skills, with experience in AMS support and implementation projects.,

As a Software and Systems Manager at UPS, you will play a key role in planning, developing, and managing the organization's information software, applications, systems, and networks. Your primary responsibility will be to ensure that UPS's business needs are met through continual upgrades and the development of new technical solutions. Here are some key responsibilities associated with this role: - Analyzing business systems, processes, and related data to determine how solutions can be engineered to provide new or improved business capabilities and processes. - Acting as a member of a product team, translating business terms and processes into technical requirements, specifications, and acceptance criteria. - Functioning as a proxy product owner and subject matter expert for various business domains. - Core competencies included requirements engineering, requirements elicitation, processes modeling, and workshop facilitation. - Preparing communications and making presentations on system enhancements and alternatives. As a Software and Systems Manager, you will be expected to provide specific functional expertise that is theoretical and conceptual in nature. This expertise is typically acquired through a combination of university education and experience within the field. You may also have supervisory responsibilities for others, but your primary focus will be on individual expertise. Sophisticated subject matter expertise is a requirement for success, particularly at higher levels. You will apply your working knowledge and experience in your job discipline, continuing to broaden your capabilities and understanding of the company, processes, and customers. You will solve problems in straightforward situations by analyzing possible solutions using experience, judgment, and precedents. Your work will impact the quality of your own work and the work of others on the team. You will perform a range of assignments with a moderate level of guidance and direction. **Key Responsibilities:** - Strategy Development and Implementation - Analyzing financial and market situations and participating in the creation of a business case or part of a business strategy. - Applying/integrating the business strategy to the work of your own team, understanding the main goals of the organization. - Analyzing data to provide information to stakeholders on strategic issues and facilitating the calculation of the ROI. - Stakeholder Engagement - Identifying and managing key business partner relationships, understanding their needs and expectations, and delivering value to the business partner. - Maintaining open two-way communication, developing trust and influence among key business partners. - Consistently communicating with business partners to reach desired goals in a timely manner. - Process Improvement - Assessing bottlenecks in work processes within teams to streamline and simplify workflow. - Coordinating with team members to execute new ideas or approaches and achieve process improvement goals. - Compiling data and analyzing the impact of process changes. - Technical Communication/Presentation - Confirming comprehension of complex information by answering routine questions clearly. - Creating clear, concise, and organized communication materials. - Considering the audience's specific needs and comprehension level to determine the most appropriate message and delivery method. - Building a Business Case - Articulating the presenting business issue impacting your team and helping develop the rationale for addressing it. - Assisting in the identification and analysis of potential solutions to address the business need. - Documenting the business case for change and sharing it with team leadership. - Project Management - Developing project plans, defining timeframes, and prioritizing tasks to achieve project milestones and deliver objectives. - Identifying the type of resources required to support a project and making recommendations. - Monitoring progress to meet project milestones, timelines, specifications, and requirements. As a permanent employee at UPS, you will be part of a workplace committed to providing a discrimination-free, harassment-free, and retaliation-free environment.,

As a Data Modeler, you will be responsible for analyzing and translating business needs into long-term solution data models. You will evaluate existing data systems and have extensive experience in the US Healthcare domain. Your role will involve working closely with the development team to create conceptual data models and data flows. Additionally, you will develop best practices for data coding to ensure consistency within the system. Your key responsibilities will include: - Reviewing modifications of existing systems for cross-compatibility. - Implementing data strategies and developing physical data models. - Updating and optimizing local and metadata models. - Evaluating implemented data systems for variances, discrepancies, and efficiency. - Troubleshooting and optimizing data systems. No additional details of the company are present in the job description.,

As a member of the Data Management Center of Excellence at DTCC, you will play a crucial role in supporting the leadership team to establish, mature, and scale the CoE, as well as drive the implementation of industry-leading data management practices. Your ability to prioritize, own and drive projects, quickly learn new concepts and frameworks, work in a fast-paced environment, and adapt to shifting priorities will be key to your success in this role. You will be responsible for providing critical support for the management of information domains across the enterprise and supporting enterprise-wide data management initiatives. **Key Responsibilities:** - Participate in preliminary data analysis for new projects - Collaborate with business and operational partners to analyze data and produce business data element names - Engage with domain experts to understand and document business requirements for data - Assist data modelers in producing conceptual and logical data models - Input and handle required metadata for critical data elements in the enterprise metadata repository - Support data quality through data profiling, defining data quality rules, and supporting data cleansing efforts - Assist the Data Steward with project planning, identification of resource requirements, and effort estimation - Independently manage assigned projects across the life cycle - Develop and deliver high-quality presentations to partners and leadership - Participate as a core member of agile squads, including attending daily stand-up and grooming sessions, documenting user stories, and tracking project metrics In addition to the responsibilities mentioned above, you will play a key role in bridging the gap between IT and the business, accessing, profiling, and analyzing data, understanding and documenting business requirements, and communicating effectively with technical and business stakeholders. **Qualifications:** - Minimum 4 years of related experience - Bachelor's degree preferred or equivalent experience **Talents Needed for Success:** - Solid grasp of data management processes and standard methodologies - Excellent written and verbal communication skills - Excellent analytical and quantitative skills - Proficiency with Microsoft Office tools required; experience with data management tools (e.g. Collibra) and business process tools (e.g. Mega HOPEX) preferred - Basic technical skills required, including the ability to profile data using SQL queries; basic understanding of Logical Data Modeling and Database design is a plus,

As a Business Analytics Analyst, you will be responsible for developing client-centric analytical solutions that address business issues with a client-first approach. Your key responsibilities will include: - Developing analytical solutions focused on business challenges - Leading and executing complex analytical projects - Applying segmentation techniques, hypothesis testing, predictive modeling, and statistical methodologies - Managing relationships with stakeholders across departments and regions - Developing project strategies, delegating tasks efficiently, and maintaining seamless communication To excel in this role, you should possess the following technical skills: - Experience in Python or R programming - Strong background in Machine Learning & Statistical Modeling - Hands-on experience in P&L Forecasting, Product Pricing, and Acquisition Strategy projects - Proficiency in Tableau for data visualization - Experience with Adobe Analytics (SiteCatalyst) In addition to technical skills, the following soft skills are essential: - Ability to work independently or in a team - Excellent written and verbal communication skills - Strong critical thinking and problem-solving abilities - High flexibility and willingness to take initiative You should have a Bachelor's Degree with 3 years of experience in data analytics or a Master's Degree with 2 years of experience. Hands-on experience in SAS and SQL, along with working with large datasets and data warehouses using relevant programming languages, is required. A strong background in Statistical Analysis and experience in domains like Credit Cards or Retail Banking are acceptable.,

About ARAs Client ARAs client Tech Global (pseudonym) is a global leader in strategy, technology consulting and digital services, enabling clients in more than 100+ countries to implement cutting edge solutions in their transformation journey. Tech Global helps businesses become digital-first and digital-ready. The company has a global presence with 600000+ employees (200000+ in India). India is a focus for them with their Development Centres presence in over 10 locations across Tier 1 and Tier 2 cities. They are recognised for their people first and employee-oriented policies. Along with offering hybrid work options, a Pan India presence gives flexible location options to employees. Role Summary As an Application Lead (SAP HANA DB Administration), you will be responsible for leading the design, configuration, and optimization of SAP HANA database environments. Acting as the primary point of contact for your domain, you will oversee the development and performance of critical applications, guide technical teams, and ensure smooth collaboration across functions to meet business goals. Key Responsibilities Lead end-to-end SAP HANA DB administration and related application lifecycle management. Oversee design, build, and configuration of applications to align with project objectives. Serve as the technical SME for SAP HANA DB operations and performance tuning. Manage and mentor technical teams; ensure quality and timely project delivery. Collaborate with cross-functional stakeholders on architecture and design decisions. Monitor system health, troubleshoot issues, and ensure compliance with governance standards. Conduct regular knowledge-sharing sessions to strengthen team capabilities. Must-Have Qualifications Minimum 5 years of experience in SAP HANA DB Administration. Strong expertise in database management, performance optimization, and troubleshooting. Experience with data modelling, data warehousing, and HANA performance tuning. Ability to implement and maintain security measures and data governance policies. Excellent communication and leadership skills to guide diverse teams. Bachelors degree with 15 years of full-time education (as per industry norms). Nice-to-Have Experience in SAP S/4HANA landscapes and migration projects. Exposure to automation scripts (e.g., Shell, Python) for system monitoring. Understanding of cloud-hosted SAP HANA environments (Azure/AWS/GCP).  

As a Solutions Architect, your primary focus is to ensure the technical integrity of the Event Driven Architecture platform and to formulate the technical direction for the strategic cloud investments. You will drive the estimation, analysis, and design, as well as support implementation and operations of a slew of microservices owned by the team. Working closely with the senior tech and business leadership, engineering, and ops teams, you will drive the vision and the technical strategic objectives throughout the SDLC. It is essential for you to remain current in all Parcel and Logistics related technologies in support of enterprise applications and infrastructure. Your passion for technology and thirst for innovation will play a crucial role in shaping the future of digital transformation. Responsibilities: - Analyze, design, and lead technical solutions fulfilling core business requirements in the migration journey from legacy messaging solution to Confluent Kafka in AWS platform. Consider solution scalability, availability, security, extensibility, maintainability, risk assumptions, and cost considerations. - Actively participate in proof-of-concept implementation of new applications and services. - Research, evaluate, and recommend third-party software packages and services to enhance digital transformation capabilities. - Promote technical vision and sound engineering principles among technology department staff members and across the global team. - Occasionally assist in production escalations, systems operations, and problem resolutions. - Assist team members in adopting new Kafka and real-time data streaming solutions. Mentor the team to remain current with the latest tech trends in the global marketplace. - Perform and mentor conceptual, logical, and physical data modeling. - Drive the team to maintain semantic models. - Guide teams in adopting data warehousing, data lakes, and data mesh architectures. - Drive process, policy, and standard improvements related to architecture, design, and development principles. - Assist business leadership in prioritizing business capabilities and go-to-market decisions. - Collaborate with cross-functional teams and business teams as required to drive the strategy and initiatives forward. - Lead architecture teams in digital capabilities and competency building, mentoring junior team members. Qualifications: - 15+ years of software engineering experience with 5+ years in hands-on architecture roles. - Ability to define platform strategy, target state architecture, and implementation roadmaps for enterprise-scale applications to migrate to Kafka. - Proven hands-on architecture and design experience in Microservice architecture and Domain Driven Design concepts and principles including 12-factor app and other enterprise design patterns. - Establish enterprise architectural blueprints and cloud deployment topologies. - Highly experienced in designing high traffic services serving 1k+ transactions per second or similar high transaction volume distributed systems with resilient high-availability and fault-tolerance. - Experience in developing event-driven, message-driven asynchronous systems such as Kafka, Kinesis, etc. - Experience in AWS services such as Lambdas, ECS, EKS, EC2, S3, DynamoDB, RDS, VPCs, Route 53, ELB. - Experience in Enterprise Java, Springboot ecosystem. - Experience with Oracle Databases, NoSQL DBs, and distributed caching. - Experience with Data Architecture, Data Modeling, Data Lake, and Data Mesh implementations. - Extensive experience implementing system integrations utilizing API gateways, JSON, Avro, and XML libraries. - Excellent written, verbal, presentation, and process facilitation skills. - AWS architecture certification or equivalent working expertise with the AWS platform. - B.S. or M.S. in computer science or a related technical area preferred. Please note that this position is based out of GDC in Chennai, India, and occasional travel to Belgium might be required for business interactions and training.,

As an AI/ML Engineer, you will be responsible for the following: - 100% hands-on Experience is a must in development and deployment of production-level AI models at enterprise scale. You will be the decision-maker in Build Vs Buy scenarios. - Drive innovation in AI/ML applications across various business domains and modalities such as vision, language, and audio. - Implement Best practices in AI/ML, MLOps, DevOps, and CI/CD for AI/ML projects. - Continuously identify and evaluate emerging tools and technologies in the AI/ML space for potential adoption. Your qualifications should include: - Overall 5 to 7 years of experience, with at least 4 years in AI, ML, and Gen AI technologies. - Proven track record of leading and scaling AI/ML teams and initiatives. - Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications. - Expertise in ML frameworks such as PyTorch and/or TensorFlow. - Experience with ONNX runtime, model optimization, and hyperparameter tuning. - Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices with a Tech Stack including Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, and ELK stack. - Experience in production-level deployment of AI models at enterprise scale. - Proficiency in data preprocessing, feature engineering, and large-scale data handling. - Expertise in image and video processing, object detection, image segmentation, and related computer vision tasks. - Proficiency in text analysis, sentiment analysis, language modeling, and other NLP applications. - Experience with speech recognition, audio classification, and general signal processing techniques. - Familiarity with RAG, VectorDB, GraphDB, and Knowledge Graphs. - Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Proficiency in using and integrating cloud-based AI services and tools such as AWS SageMaker, Azure ML, and Google Cloud AI.,

You will be working with ValGenesis, a leading digital validation platform provider for life sciences companies. The company's suite of products is utilized by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance, and manufacturing excellence across their product lifecycle. As a Data Scientist in this role, your responsibilities will include: - Developing statistical and machine learning models for QbD, CPV, PAT, and process monitoring use cases - Advising product managers and leaders on the value of advanced analytics and modeling in the product suite - Collaborating with engineering and subject matter experts to ensure technically sound and explainable models - Creating prototypes and proofs of concept for new analytics-based product features - Ensuring modeling practices align with regulated environments such as GxP and GMP - Writing clear documentation explaining modeling approaches for internal and external stakeholders - Contributing to product discovery by identifying opportunities for AI, ML, or advanced statistical methods to improve usability and decision-making To be successful in this role, you must have: - At least 5 years of hands-on experience in data science and life sciences manufacturing domains - Expertise in advanced data science and statistical modeling tools and languages such as SIMCA, JMP, Python, R, etc. - Strong knowledge of multivariate analysis, chemometrics, predictive modeling, and time-series modeling - Deep understanding of QbD, CPV, PAT, or Process Validation in regulated environments - Interpersonal skills such as product thinking, inquisitiveness, strong communication, collaboration, and rigor in documentation ValGenesis disrupted the life sciences industry in 2005 with the introduction of the world's first digital validation lifecycle management system. The company continues to innovate and expand its portfolio beyond validation with an end-to-end digital transformation platform. You will be joining a team that values customer success and collaboration. The company believes in open communication, mutual support, and a culture of innovation. ValGenesis is dedicated to becoming the number one intelligent validation platform in the market. The company's offices in Chennai, Hyderabad, and Bangalore require onsite presence 5 days a week to foster creativity, community, and collaboration. Please note that artificial intelligence tools may be used in the hiring process to support recruitment activities, but final decisions are made by humans. If you have any questions about data processing, feel free to reach out to ValGenesis.,

As a Subject Matter Expert (SME), you will bridge the business and technical realms, driving the delivery of data-driven solutions that align with business objectives and regulatory requirements. Responsibilities - Define product vision and prioritize the backlog to ensure alignment with both business goals and compliance mandates - Act as the customer advocate, translating business needs into actionable user stories and detailed acceptance criteria - Interpret large sets of healthcare and claims data to uncover actionable insights and opportunities for operational improvements - Design and deliver data presentations, dashboards, and reports to inform decision-making - Partner with data engineers, analysts, and developers to guarantee data integrity, quality, and adherence to privacy standards - Facilitate smooth communication among technical teams, business stakeholders, and external vendors - Oversee the testing, validation, and implementation of new data-driven applications or feature enhancements Requirements - Bachelors degree in Computer Science or related disciplines, with preference for a Masters degree - Expertise in data analytics using reporting tools and technologies such as Tableau, Power BI, and SQL - Qualifications in healthcare data compliance and standards like HIPAA or coding systems such as ICD, CPT, and HCPCS - Strong knowledge of Agile or Scrum methodologies - Exceptional skills in communication, stakeholder management, conflict resolution, and decision making - Capability to translate data interpretations into strategic outcomes Nice to have - Flexibility to use healthcare data platforms and familiarity with ETL workflows - Knowledge of predictive modeling or machine learning applications in healthcare - Certification such as CBAP, CSPO, or equivalent,

As an Informatica Manager at EY-GDS D&A (Data and Analytics) team, your role involves overseeing data integration projects, leading a team, designing data integration architectures, developing ETL processes, and optimizing performance. You will work with Informatica PowerCenter, IDMC, Oracle, DB2, PL/SQL, and SQL technologies to deliver impactful solutions in various industries like Banking, Insurance, Manufacturing, Healthcare, Retail, Supply Chain, and Finance. **Key Responsibilities:** - **Project Management:** - Oversee planning, execution, and delivery of data integration projects using Informatica tools. - Define project scope, objectives, and deliverables in coordination with stakeholders. - **Team Leadership:** - Manage and guide a team, fostering a collaborative environment for knowledge sharing. - **Architecture and Design:** - Design and implement data integration architectures meeting business requirements. - Analyze existing data structures to design ETL processes and data warehouse structures. - **Development and Implementation:** - Create, maintain, and optimize ETL processes, stored procedures, functions, and database structures. - Perform advanced ETL development using Informatica, PL/SQL, and Oracle Database tuning. - **Performance Tuning:** - Monitor and optimize the performance of ETL processes and data workflows. - Identify and resolve performance bottlenecks to ensure efficient data movement. - **Data Quality Management:** - Implement data quality checks to ensure data accuracy and integrity. - Make recommendations for system changes based on data profiling and analysis. - **Collaboration with IT and Business Teams:** - Work closely with IT and business teams in designing and implementing the data warehouse. - Collaborate with subject matter experts to understand data behavior and characteristics. - **Documentation and Reporting:** - Use data modeling and documentation tools to analyze and present data analysis work. - Maintain documentation of data integration processes, workflows, and architecture. - **Training and Support:** - Provide training and support on Informatica tools to end-users and team members. - Act as a point of contact for troubleshooting data integration issues. - **Continuous Improvement:** - Stay updated with the latest data integration technologies and propose process improvements. **Qualifications Required:** - **Education:** BE/BTech/MCA with 10+ years of IT development experience. - **Informatica Expertise:** Proven experience in designing and implementing solutions using Informatica tools. - **Cloud Platform Experience:** Hands-on experience with public cloud platforms for data integration. - **Regulatory Knowledge:** Strong understanding of Data Governance frameworks and compliance regulations. - **Data Documentation:** Experience in producing Data Lineage Reports and Business Glossaries. - **Data Integration Experience:** 5+ years of experience in data integration solutions. - **Real-Time Data Processing:** Exposure to real-time data processing methodologies within the Informatica ecosystem. - **Customer Interaction:** Ability to manage customer interactions effectively. - **Data Management Knowledge:** In-depth knowledge of Data Architecture and Data Modeling. - **Database and Warehousing Experience:** Experience with databases, data warehousing, and high-performance computing environments. - **Presales and Presentations:** Experience in responding to RFPs and delivering customer presentations. - **Domain Experience:** Nice to have experience in Insurance and Finance domains. Join EY to work on inspiring projects, receive support and coaching from engaging colleagues, and have opportunities for skill development and career progression in a collaborative environment focused on high quality and knowledge exchange.,