8 Data Models Jobs nearby Tiruchirappalli

Role Overview: As a Senior Salesforce Developer, you will be responsible for designing, developing, and implementing customized Salesforce solutions using Apex, Lightning Web Components (LWC), and Visualforce. You will also integrate Salesforce with third-party systems using REST/SOAP APIs for seamless data exchange and automation. Your role will involve participating in technical discussions, collaborating with cross-functional teams, and providing technical leadership by mentoring junior developers and conducting code reviews. Understanding of OmniStudio components to create dynamic and configurable UIs and service processes is highly preferred. Key Responsibilities: - Design, develop, and implement customized Salesforce solutions using Apex, Lightning Web Components (LWC), and Visualforce. - Integrate Salesforce with third-party systems using REST/SOAP APIs for seamless data exchange and automation. - Participate in technical discussions and provide input on architecture and design. - Collaborate with cross-functional teams including Business Analysts, Architects, and QA for end-to-end solution delivery. - Develop and maintain technical documentation, test coverage, and deployment pipelines. - Provide technical leadership by mentoring junior developers and conducting code reviews. - Understanding of OmniStudio components (FlexCards, OmniScripts, Integration Procedures, and DataRaptors) to create dynamic and configurable UIs and service processes is highly preferred. Qualification Required: - Minimum 5 years of hands-on Salesforce development experience. - Strong hands-on experience in Apex, LWC, triggers, and batch processing. - Any Salesforce Industry cloud like PSS or Health Cloud experience is highly preferred. - Proficiency in OmniStudio (formerly Vlocity) components is highly preferred. - Familiarity with Salesforce data and security models, sharing rules, and role hierarchies. - Experience in building scalable integrations using APIs and working with middleware solutions. - Exposure to Salesforce DX, source control (Git), and CI/CD pipelines. - Ability to work in Agile/Scrum delivery environments. - Strong communication skills and the ability to engage with business and technical stakeholders effectively. Additional Details: The company is looking for candidates with certifications such as Salesforce Platform Developer I (PD1) (Mandatory), Salesforce Platform Developer II (PD2) (Preferred/Highly Desirable), Salesforce Omnistudio developer (Preferred), and Any Salesforce Industry certification (Nice to Have). Education requirements include a Bachelors/Masters degree in Computer Science, Information Technology, or a related field. If interested in this position, kindly share your updated resume to jothi@everlogicsolutions.com along with the requested details like Name, Present Company, Present Location, Total Experience, Relevant Experience in ServiceNow, Current CTC, Expected CTC, Notice Period/Last Working Day, and Willingness to relocate to Dubai.,

Petroleum Engineer Job Description  We are looking for an analytical petroleum engineer to assist with the location of natural petroleum reservoirs and to devise the best methods of extraction. The petroleum engineer's responsibilities include discovering new petroleum reservoirs, developing cost-efficient, effective methods of petroleum recovery, extracting and producing oil and gas from underground reservoirs, and developing new ways to extract oil and gas from older reservoirs. To be a successful petroleum engineer, you should have strong mathematical, analytical, and problem-solving skills. You should have an in-depth knowledge of extraction techniques and principles, and be willing to travel to and live in possibly harsh and unfriendly locations. Petroleum Engineer Responsibilities: Analyzing, interpreting, and monitoring the geological formation data to ascertain the extraction risks and the best methods of extraction. Using surveys, testing, and analysis to evaluate new reservoirs to determine profits and to create low-cost drilling and extraction plans. Generating computer-simulated models for drilling formation and equipment, ensuring and designing the best tools and equipment for extraction, and managing machinery and production costs. Determining the most efficient way to drill through internal divisions for a free-flowing single well. Determining the most efficient way to fracture shale beds to free the gas or oil. Overseeing ongoing production operations, ensuring the efficient extraction and drilling, and ensuring extraction and transportation respect safety and environmental regulations. Maintaining on-site drilling and pumping equipment. Developing and refining methods of extracting more petroleum from existing wells. Overseeing the removal of the company's equipment, the sealing of the reservoir, and the disposal of waste materials once the reservoir has been exhausted. Petroleum Engineer Requirements: A bachelor's degree in petroleum, civil, mechanical, chemical, or related Engineering field. An in-depth, creative knowledge of extraction techniques and principles. Good IT, research, and survey skills. Strong technical, analytical, numerical, and problem-solving skills. Good communication, interpersonal, and teamworking skills. The willingness and ability to be held accountable for multi-million dollar operations. The willingness and ability to work in remote locations, with harsh climates and often unfriendly locals. The ability to handle a physically demanding and stressful work environment.  

Job Description POSITION SUMMARY Check figures, postings, and documents for accuracy. Organize, secure, and maintain all files, records, cash and cash equivalents in accordance with policies and procedures. Record, store, access, and/or analyze computerized financial information. Classify, code, and summarize numerical and financial data to compile and keep financial records, using journals, ledgers, and/or computers. Prepare, maintain, audit, and distribute statistical, financial, accounting, auditing, or payroll reports and tables. Complete period-end closing procedures and reports as specified. Prepare, review, reconcile, and issue bills, invoices, and account statements according to company procedures. Follow-up and resolve past due accounts and vendor invoices until payment in full is received or resolved. Coordinate tasks and work with other departments; serve as a departmental role model or mentor; assign and ensure work tasks are completed on time and that they meet appropriate quality standards. Report work-related accidents, or other injuries immediately upon occurrence to manager/supervisor. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Speak with others using clear and professional language; prepare and review written documents accurately and completely; answer telephones using appropriate etiquette. Develop and maintain positive working relationships with others; support the team to reach common goals; listen and respond appropriately to the concerns of other employees. Move, lift, carry, push, pull, and place objects weighing less than or equal to 10 pounds without assistance. Perform other reasonable job duties as requested by Supervisors.

As a .NET Development Intern at our company, you will have the opportunity to gain hands-on experience in a professional setting, working with cutting-edge technologies and contributing to meaningful projects. Key Responsibilities: - Assist in the development and maintenance of web applications using the .NET framework, following the MVC pattern. - Collaborate with senior developers to design, develop, and implement RESTful APIs using .NET C#. - Work with SQL databases to create, modify, and maintain data structures. - Apply basic Object-Oriented Programming (OOP) principles to write clean, efficient, and reusable code. - Participate in code reviews and assist in troubleshooting and debugging issues. - Stay updated with the latest trends and technologies in .NET development. Qualifications: - Degree in Computer Science, Information Technology, or a related field. - Strong understanding of the .NET framework, MVC pattern, and C# programming language. - Basic knowledge of SQL and database management. - Familiarity with creating and consuming APIs using .NET. - Understanding of basic OOP concepts and principles. - Excellent problem-solving skills and attention to detail. - Ability to work collaboratively in a team environment. - Strong communication skills, both verbal and written. In our internship model, you will gain 3 months of rich live experience working on live projects. The stipend for this internship will be revealed during the screening call. If your performance is impressive and meets our standards, we may consider you for full-time employment.,

As an AI/ML Engineer at our company, you will be responsible for designing, developing, and deploying ML models and AI-driven solutions. You will work onsite in Trichy and must be based in our Trichy office as remote work is not an option. Key Responsibilities: - Develop and deploy machine learning models and AI-based solutions. - Preprocess, clean, and analyze large datasets. - Optimize ML pipelines for scalability and efficiency. - Work with cloud platforms and MLOps tools for deployment and monitoring. - Collaborate with teams to integrate AI solutions into business workflows. - Stay updated with advancements in AI/ML technologies. Required Skills & Qualifications: - Bachelor's/Master's in Computer Science, Data Science, AI/ML, or related field. - 5+ years of hands-on experience in AI/ML development. - Strong Python skills and experience with TensorFlow, PyTorch, and Scikit-learn. - Experience with AWS, GCP, or Azure for AI/ML workloads. - Proficiency in data processing with Pandas, NumPy, and SQL. - Experience with MLOps tools like MLflow, Kubeflow, or TensorBoard. - Strong problem-solving and model optimization skills. - Excellent communication and collaboration skills. - Must work from the Trichy office. Remote work is not an option. Preferred Qualifications: - Experience with NLP and Computer Vision. - Exposure to Generative AI models and LLMs. - Understanding of AI ethics and responsible AI practices. - Knowledge of DevOps and CI/CD pipelines for ML deployment.,

You will be responsible for optimizing machine learning systems, evaluating existing ML processes, and enhancing the accuracy of AI software's predictive automation capabilities. Your key responsibilities will include: - Consulting with managers to determine and refine machine learning objectives. - Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. - Transforming data science prototypes and applying appropriate ML algorithms and tools. - Ensuring that algorithms generate accurate user recommendations. - Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions. - Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks. - Developing ML algorithms to analyze huge volumes of historical data for predictions. - Running tests, performing statistical analysis, and interpreting test results. - Documenting machine learning processes. - Keeping abreast of developments in machine learning. Qualifications required for this role: - Bachelor's degree in computer science, data science, mathematics, or a related field. - Masters degree in computational linguistics, data analytics, or similar will be advantageous. - At least two years" experience as a machine learning engineer. - Advanced proficiency with Python, Java, and R code writing. - Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. - In-depth knowledge of mathematics, statistics, and algorithms. - Superb analytical and problem-solving abilities. - Great communication and collaboration skills. - Excellent time management and organizational abilities. Please note that the job also requires skills in Artificial Intelligence (AI), Deep Learning, and PowerBI.,

As a Regional Engagement Manager at Positka, you will play a crucial role in understanding customer expectations, ensuring delivery excellence, and strengthening client relationships in the field of IT Consulting, particularly in Cybersecurity. Your responsibilities will include: - Understanding, articulating, and driving agreement on clients" expectations and requirements. - Converting requirements into specific deliverables and credible plans. - Leading a team of specialists to deliver outcomes in collaboration with key stakeholders. - Identifying opportunities for business development and extending client relationships. Projects will primarily focus on Cybersecurity and related areas of Information Technology. While a cybersecurity background is not mandatory, experience in implementing software solutions or technology services delivery will be beneficial. You will need to gain in-depth knowledge of Positka's solutions over time. Your role will involve driving the execution of strategic projects across various geographies such as Singapore, Hong Kong, Japan, Middle East, UK, India, and North America. You will be responsible for: - Leading geographically dispersed cross-functional teams to deliver projects on time and within budget. - Ensuring customer satisfaction and overall delivery excellence. - Developing account growth strategies within your purview. - Designing and executing resource plans for project fulfillment. - Upholding high standards of project discipline and accountability. - Continuously improving the project delivery model and strategy. You will also be required to: - Identify appropriate product/service offerings to meet clients" needs. - Manage multiple teams to deliver projects aligned with customer requirements. - Resolve complex issues and project risks effectively. - Demonstrate in-depth knowledge of Positka's principles and practices. - Foster an open, honest, accountable, and collaborative team environment. Successful candidates for this role should have: - 7+ years of experience in Project Management, with a focus on Engagement Management. - Fluency in English and Mandarin (spoken and written) for effective communication with clients in Greater China and APAC regions. - Strong understanding of key IT areas such as IT Infra, DevOps, SecOps, IT Support, and Data Analytics. - Strong problem-solving skills, attention to detail, and ability to deal with ambiguity. - Any background or experience in Cybersecurity is advantageous. This position offers exposure to emerging technologies like Security, Analytics, and Machine Learning, serving as a stepping stone towards a Business Unit leadership role. You will have the opportunity to work closely with senior leadership at Positka and engage with senior executives in customer organizations. The role is based in Kuala Lumpur with remote working flexibility and occasional travel. If you are interested, please contact regina@positka.com or ravindsingam@positka.com for further details.,

Role Overview: As an experienced SAP SCM APO Consultant with expertise in the GATP (Global Available-to-Promise) module, you will be responsible for configuring and implementing solutions from requirement gathering to deployment. Your primary focus will be on integrating GATP with ECC SD functions and ensuring efficient product availability processes. Key Responsibilities: - Implement and configure the GATP module in SAP SCM APO, ensuring seamless integration with ECC SD. - Translate business requirements into technical solutions for GATP processes. - Configure GATP master data, including Rules-based ATP, Back-order processing, Product Allocation, Multi-level ATP, Scheduling, and EDQA. - Monitor and manage Backorder processing to optimize product availability processes. - Collaborate with the CIF (Core Interface) for integration models, facilitating smooth data exchange between SAP systems. - Provide expertise in SAP SPP (Supply Network Planning) and DP (Demand Planning) modules. - Conduct debugging and troubleshooting of ABAP code to resolve issues. - Support the implementation and maintenance of integration models to ensure seamless functionality across SAP modules. Qualifications Required: - 3 to 6 years of hands-on experience in SAP SCM APO, specifically in the GATP module. - Strong understanding of ECC SD functions and their integration with GATP. - Proficiency in configuring GATP processes and master data setup, including Rules-based ATP, Back-order processing, Monitoring of Backorder processing, Product Allocation, Multi-level ATP, Scheduling, EDQA, and other GATP areas. - Familiarity with CIF interface processes, integration model configuration, and maintenance. - Experience with SAP SPP and DP modules. - ABAP debugging skills would be advantageous. - Certification in APO modules is a plus.,

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)Experience in Cloud native skills.Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an assetAnalytical mind and business acumen and Strong math skills (e.g. statistics, algebra)Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.Great communication and presentation skills. Should have experience in working in a fast-paced team culture.Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

We are looking Azure DB - ResilienceGood experience on the design and implementation of resilient, highly available (HA), and fault-tolerant (DR) architectures for Azure database services with technically guided, managed and governed the team. Willing to provide 24x7 support, flexible to work in the shifts Primary skills:KEY RESPONSIBILITIESAzure SQL (DB & MI), MySQL, PostgreSQL, and Cosmos DB(API & vCore): Design and implement resilient architectures for Azure database services including Azure SQL( DB & MI), MySQL, PostgreSQL, and Cosmos DB. Develop and maintain High Availability (HA), Disaster Recovery (DR) solutions including zone redundancy, geo-redundancy, failover groups, read replicas, and backup/restore strategies in accordance with business SLAs and RTO/RPO requirements. Design solutions that include auto-failover, replication, zone and region redundancy, and graceful degradation. Evaluate and implement active-active or active-passive deployment models where appropriate. Create documentation for architecture patterns, failover processes, recovery steps, and operational runbooks. Monitor and optimize performance, and availability of Azure PaaS database workloads. Serve as the subject matter expert (SME) for database resilience in enterprise environments. Conforming to client compliances and expectations This role may entail shift & after-hours support on an on-call basis.Mandatory Technical skills required Good working experience all HA and DR solutions for Azure SQL (DB & MI), MySQL, PostgreSQL, and Cosmos DB (API & vCore). Migrating to Azure Databases Day to-day HA/DR administration activitiesGood to have: Any of the following certificate:o Microsoft Certified: Azure Database Administrator Associate Soft Skills: Good customer connects. Prepare solution presentations. Positive attitude and excellent communication skills to manage customer calls. Excellent problem-solving skills. Good communication. Educational Qualification: BCA/MCA/BE/B.Tech or equivalent.

We are currently hiring for the position of SFMC CDP Data Cloud Developer at Capgemini. Your profile aligns with our requirements, and we would like to share the role details for your review. Role: SFMC CDP Data Cloud DeveloperGrade: C1 Experience Required: 6 to 10 years Location Options: Hyderabad, Bangalore, Chennai, Mumbai, Kolkata, Pune, Noida, Gurugram Role Responsibilities:Drive discussions on SFMC user stories and requirements with stakeholdersArchitect solutions across Marketing and CRM landscapeLead end to end SFMC deliverables for large marketing initiativesCreate use cases, user stories, and proof of conceptsMap Marketing Cloud data models to CRM solutionsDevelop training plans and conduct end user sessionsWork extensively on Email Studio including A B testing, segmentation, personalization, and triggered sendsAct as a key Capgemini representative to bridge business and technical teamsCreate HLD documents and support proposal responses and RFPsProvide best practices for SFMC and CDP implementation and deploymentSupport Salesforce Data Cloud Lead on technical estimations and project planningCoordinate with Salesforce support on upgrades, patches, and configuration best practicesPresent solutions around digital marketing, marketing automation, and data management Technical Skills Required:Minimum 5 years of hands on Marketing Cloud development experienceStrong experience in Salesforce Data Cloud and SFMC integrationsKnowledge of Journey Builder, Automation Studio, Email Studio, Social StudioExperience with Data Cloud modules such as event tracking, API and SDK integration, Salesforce connectors, Apex, JavaScript, and JSONStrong understanding of CDP components including Contact Builder, Audience Builder, Content Builder, and AutomationsCRM integration knowledge with SFDC or other CRM toolsGood understanding of security, roles, access controls, and campaign data governanceExpertise in data architecture, identity resolution, duplicate management, consent management, segmentation, and subscriber managementKnowledge of AMPscript, reporting tools like Tableau or Datorama, and Production deployment processesGood to have experience with mobile push notifications, Interaction Studio, Advertising Studio, and DMPMandatory: Salesforce Data Cloud CertificationGood to Have: SFMC Certification If you are interested in exploring this opportunity, kindly share the following details: Total ExperienceRelevant Experience in SFMC and Data CloudCurrent LocationPreferred LocationCurrent CTCExpected CTCNotice PeriodSalesforce Data Cloud Certification statusUpdated ResumeLooking forward to your response. Thanks & Regards,TA Team Capgemini

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.

Job Description You are looking for a Senior DBT Engineer with 8-12 years of experience. Role Overview As a Senior Data Engineer with significant ELT experience, you will focus on building scalable, efficient, and well-governed DBT data models on modern cloud platforms. Key Responsibilities - Design and build DBT models (staging, intermediate, marts) following best practices. - Develop reusable macros, tests, and transformations to support analytics and reporting. - Optimize SQL queries, data warehouse performance, and ELT workflows.,

As a Data Engineer & Warehousing professional, your primary responsibilities will include managing the full development cycle of Data Engineering & Warehousing concepts, from requirements gathering to maintenance. You will be identifying and resolving data issues to ensure data quality and consistency, and implementing automation opportunities. Developing expertise in data and data models within the data warehouse, and understanding supported business domains will also be part of your role. Effective communication with technical personnel, business managers, and senior leadership regarding data inquiries and requests is essential. You will conduct internal testing & user acceptance testing, and develop technical specifications and design documents. Ensuring quality processes throughout the Development Lifecycle and implementing efficient functional design solutions is crucial. Collaborating with the Business and Business Intelligence team to meet requirements and build robust data pipelines is also a key responsibility. Designing and implementing scalable and secure data environments, new product features, and cutting-edge technologies is another aspect of your role. You will collaborate with the Data Science team on complex machine learning models to maximize model performance and apply domain technical expertise to provide solutions to the business and its operations. Qualifications required for this role: - Bachelor's Degree in computer science, Information Technology, Management Information Systems, or related field (Required); Technical MS Preferred - 5 years of professional experience in data engineering/data warehousing enterprise or related experience (Required) - Advanced skills in data warehouse architectures, dimensional models, star schema designs, and in-memory/columnar databases - Proficiency in programming languages such as Spark, Spark SQL, R, Python, Java, and Scala - Knowledge of Delta Lake and SQL & T-SQL skills - Proficient in SQL Server syntax, Microsoft/Azure services like Data Factory, & Azure Analysis Services (Tabular), and associated syntaxes (DAX, MDX) - Strong experience with Database Management Systems (DBMS), specifically SQL and NoSQL - Demonstrated success working within Azure Synapse Analytics and Azure Blob Storage - Working experience with API / RESTful data services and big data technologies such as Spark, Databricks, Hadoop, Hive, etc. - Knowledge of popular data discovery, analytics, and BI software tools like Power BI for semantic-layer-based data discovery - Familiarity with containerization techniques such as Docker, Kubernetes,

As a Data Engineer Lead at Barclays, you will play a vital role in the evolution of the digital landscape, driving innovation and excellence. Harnessing cutting-edge technology, you will revolutionize digital offerings to ensure unparalleled customer experiences. Working alongside a team of engineers, business analysts, and stakeholders, you will deliver a technology stack using strong analytical and problem-solving skills to understand business requirements and deliver quality solutions for complex technical problems. **Key Responsibilities:** - Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete, and consistent data. - Design and implementation of data warehouses and data lakes that manage the appropriate data volumes, velocity, and adhere to required security measures. - Development of processing and analysis algorithms fit for the intended data complexity and volumes. - Collaboration with data scientists to build and deploy machine learning models. **Qualifications Required:** - Experience with ETL skills, preferably in Abnitio and DBT. - Strong SQL skills. - Proficiency in Unix and bash scripting. - Familiarity with Tivoli and/or Autosys. - Knowledge of data modeling (Conceptual, Logical, and Physical). This role is based in Chennai. As an Assistant Vice President, you are expected to advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions and business divisions, lead a team performing complex tasks, set objectives, coach employees, and appraise performance. If the position involves leadership responsibilities, your role is to create an environment for colleagues to thrive and deliver to a consistently excellent standard by demonstrating the LEAD behaviors - Listen and be authentic, Energise and inspire, Align across the enterprise, and Develop others. All colleagues at Barclays are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

As a Data Scientist, your role will involve collaborating with interdisciplinary scientists, IT, and engineering professionals to solve critical problems and support business decision-making. Your strong communication and organizational skills, combined with a problem-solving attitude, will be essential in this team environment. Key Responsibilities: - Utilize at least 3 years of experience in analytics, particularly with big data solutions. - Showcase Subject Matter Expertise (SME) in Statistics, Analytics, Data Science, Machine Learning, Deep Learning, Big Data Platforms (e.g., SQL, Hadoop, Apache Spark), and Programming Languages (Python and R). - Implement techniques such as statistical models, ML algorithms (e.g., Random Forest, SVM), Deep Learning models (e.g., CNN, RNN), and NLP. - Create proposals for analytics/data science solutions. - Perform hands-on data analysis to derive actionable insights. - Collaborate with global teams and senior stakeholders. Qualifications Required: - Degree in fields like Statistics, Mathematics, Operations Research, Economics, Engineering, or Information Science. - Experience in proposal building for analytics/data science solutions. - Strong analytical and logical mindset. - Proficiency in English for a global team environment. - Contributions on platforms like GitHub or Kaggle are advantageous. In your role as a Data Scientist, you will be expected to bring your expertise in analytics and big data solutions to the table. Your ability to work collaboratively, communicate effectively, and drive business decisions through data-driven insights will be key to your success in this position. As a Data Scientist, your role will involve collaborating with interdisciplinary scientists, IT, and engineering professionals to solve critical problems and support business decision-making. Your strong communication and organizational skills, combined with a problem-solving attitude, will be essential in this team environment. Key Responsibilities: - Utilize at least 3 years of experience in analytics, particularly with big data solutions. - Showcase Subject Matter Expertise (SME) in Statistics, Analytics, Data Science, Machine Learning, Deep Learning, Big Data Platforms (e.g., SQL, Hadoop, Apache Spark), and Programming Languages (Python and R). - Implement techniques such as statistical models, ML algorithms (e.g., Random Forest, SVM), Deep Learning models (e.g., CNN, RNN), and NLP. - Create proposals for analytics/data science solutions. - Perform hands-on data analysis to derive actionable insights. - Collaborate with global teams and senior stakeholders. Qualifications Required: - Degree in fields like Statistics, Mathematics, Operations Research, Economics, Engineering, or Information Science. - Experience in proposal building for analytics/data science solutions. - Strong analytical and logical mindset. - Proficiency in English for a global team environment. - Contributions on platforms like GitHub or Kaggle are advantageous. In your role as a Data Scientist, you will be expected to bring your expertise in analytics and big data solutions to the table. Your ability to work collaboratively, communicate effectively, and drive business decisions through data-driven insights will be key to your success in this position.

Role Overview: As a Data Engineer specializing in Snowflake/Sigma at Indium, your role will involve developing automated data pipelines and data stores in Snowflake. You will be responsible for designing, implementing, testing, debugging, and deploying these solutions. Additionally, you will collaborate with business analysts to groom stories and implement them in an agile team environment. Your expertise will be crucial in providing technical advice and assisting end-users in problem-solving while continuously learning new skills to enhance the product. Key Responsibilities: - Develop automated data pipelines and data stores in Snowflake - Build metadata-driven solutions that are reusable and highly configurable - Automate testing and deployment in Snowflake across Azure - Partner with business analysts to groom stories and implement them - Work in an agile team to iterate quickly and release solutions - Provide technical advice and assist end-users in problem-solving Qualifications Required: - Minimum of a B.S. in Computer Science, MIS, or related degree with 3+ years of related experience - In-depth knowledge of Snowflake, SQL, Javascript, Data Vault 2.0 or Dimensional Data Model - Experience with Data Pipelines, Relational or Columnar databases, Sigma reporting or Power BI or Tableau, Agile methodologies Scrum or KANBAN, CI/CD pipeline, Azure cloud services - Experience with one or more of ALTERYX, Python, DBT, Confluence, and ADO (Note: The additional details about Indium's dedication to diversity, equity, and inclusion are omitted in the job description.),

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.,

Role Overview: As a Data Scientist specializing in Generative AI and NLP at Tiger Analytics, you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Key Responsibilities: - Generative AI & NLP Development: Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for clients. - Model Customization & Fine-Tuning: Apply state-of-the-art techniques like LoRA, PEFT, and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. - Innovative Problem Solving: Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. - Data-Driven Insights: Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation. - Cross-Functional Collaboration: Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. - Client Engagement: Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation. Qualifications Required: - Generative AI & NLP Expertise: Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation. - Hands-On Data Science Experience: 5+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. - AI Innovation: Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. - Problem-Solving Mindset: Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. - Communication Skills: Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.,

Our company is searching for a meticulous and experienced data architect to join our talented team. Your central responsibility as the data architect will be to develop, optimize, and oversee our companys conceptual and logical data systems. Your duties may include preparing architect reports, monitoring the system, and supervising system migrations. To succeed in this role, you should know how to examine new data system requirements and implement migration models. The ideal candidate will also have proven experience in data analysis and management, with excellent analytical and problem-solving abilities. Responsibilities: Design and implement effective database solutions and models to store and retrieve company data. Examine and identify database structural necessities by evaluating client operations, applications, and programming. Assess database implementation procedures to ensure they comply with internal and external regulations. Install and organize information systems to guarantee company functionality. Prepare accurate database design and architecture reports for management and executive teams. Oversee the migration of data from legacy systems to new solutions.