104 Dimensional Modeling Jobs - Page 4

Exp - 10 to 18 Years Role - Data Modeling Architect / Senior Architect / Principal Architect Position - Permanent Locations - Hyderabad (Hybrid), Bangalore (Hybrid), Chennai (Hybrid), Pune (Remote till office opens), Delhi NCR (Remote till office opens) JD: 10+ years of experience in Data Warehousing & Data Modeling - Dimensional/Relational/Physical/Logical. Decent SQL knowledge Able to suggest modeling approaches & Solutioning for a given problem. Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server) Real-time experience working in OLAP & OLTP database models (Dimensional models). Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality. Eye to analyze data & comfortable with following agile methodology. Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP) Enthuse to coach team members & collaborate with various stakeholders across the organization and take complete ownership of deliverables. Good experience in stakeholder management Decent communication and experience in leading the team

Data Architect \ Data Modeler will be expected to leverage their knowledge of data modeling best practices along with cross industry data expertise and data modeling tool expertise. Looking for Early Joiners Demonstrable experience in developing, validating, publishing, maintaining LOGICAL data models with exposure to or experience in developing, validating, publishing, maintaining PHYSICAL data models Demonstrable experience using data modeling tools - e.g., ErWin Evaluate existing data models and physical databases for variances and discrepancies Experience with managing meta data for data models Demonstrable experience in developing, publishing, and maintaining all documentation for data models

As an Associate Analyst - Alteryx and Tableau in the Business Intelligence COE team, Finance Global Business Services FP&A team, you will play a crucial role in the financial system operational activities at Novo Nordisk. You will closely collaborate with the Product Supply team at our headqua'rters in Denmark. Your primary focus will be on corporate financial BI visualization applications used for financial reporting and business decisions. In this role, you will work as an integrated part of the Business Intelligence(BI) and Analytics team for Product Supply, collaborating with colleagues in India and Denmark. Your contribution will be instrumental in driving the upscaling of Business Intelligence(BI) and Analytics within Finance at Novo Nordisk. Additionally, you will ensure superior customer satisfaction by delivering high-quality support to the front office at our headquarters. Providing business solutions for reporting and analysis using Alteryx and Tableau. Enhancing and optimizing existing solutions for 100% automation and superior user satisfaction. Performing rigorous detailed analysis, resolving issues, and ensuring data quality. Preparing and executing test cases, ensuring the quality of solutions provided to stakeholders. Assisting in user acceptance testing, troubleshooting, and providing end-user support. Driving innovative initiatives across projects and sharing best practices. Qualifications To excel in this role, we are looking for candidates with the following qualifications: Strong communication skills, both verbal and written, in English. 3-5 years of experience with Alteryx and Tableau. Basic knowledge of web development (CSS, HTML, JS). Solid experience in specification, design, development, or implementation of Tableau solutions. Good knowledge of row-level security. Strong user experience skills and the ability to provide valuable advice to the business. Proficiency in working with complex data models and different schemas. Experience in SQL, relational databases, and dimensional modeling.

Description Skills Required Strong experience working in Cloud-based Engineering teams preferably using AWS. Solid understanding of dimensional modelling. Thorough understanding of Python and SQL for data exploration and transformation ideally within Spark environments (Pyspark SparkSQL) such as within Glue jobs. Strong written and oral communication skills and presentation skills with the ability to translate business needs to system and software/data requirements. Strong analysis and analytical skills with attention to detail within complex systems and datasets particularly on relationships between them. Solid understanding of version control systems specifically Git. Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade B Level To Be Defined Named Job Posting? (if Yes - needs to be approved by SCSC) No Remote work possibility No Global Role Family 60236 (P) Software Engineering Local Role Name 6504 Developer / Software Engineer Local Skills 45331 AWS Cloud Formation Languages RequiredEnglish Role Rarity To Be Defined

Please apply using below link. This will require uploading your CV: https://crowe.wd12.myworkdayjobs.com/External_Careers/job/Noida-Uttar-Pradesh-India/Senior-Data-Engineer-1_R-47179 "Please do not apply on Naukri" Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: Job Description: Experience in developing, optimizing, and maintaining T-SQL stored procedures, views, and functions within SQL. Develop, optimize, and maintain ETL workflows using SSIS and other tools to integrate data from various sources, including on-prem SQL Server, Excel, cloud services, and other BI tools. Leverage Power BI to build dashboards, reports, and semantic models, applying best practices in DAX, Power Query, and SSAS Tabular modeling. Intermediate or advanced proficiency and knowledge of databases (on-prem or cloud), querying data using T-SQL, or other comparable languages. Collaborate with other developers, senior leadership, and business SMEs to discover platform solution requirements, while performing data discovery and independently executing complex data analysis across multiple platforms (e.g., SQL, Fabric, Power BI, and Excel). Work with Microsoft Fabric to build and manage modern data infrastructure platform in a medallion architecture (Bronze, Silver, Gold), leveraging PySpark and other Notebook-based approaches. Demonstrate platform capabilities and promote application of tools as appropriate to address business requirements. Collaborate with peers on best practices for security, governance, and performance optimization. Understand and apply intermediate to advance Azure DevOps methodologies to drive an exemplary customer experience; apply elementary project management techniques to ensure communicable progress. Document processes, data flows, and architecture to ensure system transparency and maintainability. Effectively communicate across the organization in a manner easily understood by individuals with diverse technical and business backgrounds. Hands-on experience with Azure Data Services, such as Azure SQL Database and Azure Data Factory, while maintaining expertise in on-premises SQL Server deployments. Substantial experience with data modeling, ETL processes, as well as advanced understanding of dimensional modelling. Experience with Postman, SSAS Tabular, DAX Studio, ALM Toolkit, and/or Tabular Editor (2 or 3) a plus. Familiarity with Power BI semantic modelling, machine learning and advanced analytics a plus Ability to work independently and manage multiple priorities in a fast-paced environment. A good understanding of the agile development cycle and familiarity with Smartsheet or Azure DevOps preferred. Stay updated and up to speed with regards to new features, techniques, findings, and best practices emergent for core platforms. Qualifications: Bachelor’s degree in computer science, Data Analytics, Data/Information Science, Information Systems, Mathematics (or other related fields). 3+ years of experience with SQL and data warehousing concepts. 3+ years of experience with Microsoft Power BI, including DAX, Power Query, and M language. 3+ years of experience in supporting Business Intelligence, data analysis, and reporting. 2+ years of experience with Python (or other programming languages). 2+ years of experience managing projects from inception to execution. 1+ years of experience working with Delta Lake or Apache Spark (Fabric or Databricks). We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times. Our Benefits: At Crowe, we know that great people are what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Crowe can mean for you! How You Can Grow: We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper! More about Crowe: Crowe Horwath IT Services Private Ltd. is a wholly owned subsidiary of Crowe LLP (U.S.A.), a public accounting, consulting and technology firm with offices around the world. Crowe LLP is an independent member firm of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory firms in more than 130 countries around the world. Crowe does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.

Key Skills Expert in designing data models in industry leading tools namely Erwin, Power Designer, SQLdbm, etc... Experience with relational SQL, Big Data and NoSQL DB Experience in designing 3NF, dimensioning data models and NoSQL data modelling Experience in building data-as-a-service APIs and Symantec data models Experience in building, optimizing and reviewing big data data pipelines, architectures (Azure, AWS & GCP), and data sets (S3, Azure Blob, Cloud Data Lake, Redshift, Synapse, Big Query ) Experience in data ingestion, cleaning and processing tools (Spark, Kafka, Scala, Python, PySpark, Azure ADF, AWS Glue, etc..) Knowledge & practices of SDLC process and agile methodologies Strong in user requirements gathering, maintenance, and support Highly organized, self-motivated, pro-active, and able to plan Experience managing users and vendors is a plus Experience: 10+ years in data modelling and data engineerieering roles

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Analyse and organize raw data. Build data systems and pipelines. Evaluate business needs and objectives. Interpret trends and patterns. Conduct complex data analysis and report on results. Prepare data for prescriptive and predictive modelling. Build algorithms and prototypes. Combine raw information from different sources. Explore ways to enhance data quality and reliability. Identify opportunities for data acquisition. Develop analytical tools and programs. Collaborate with data scientists and architects on several projects. Participate in code peer reviews to ensure our applications comply with best practices. Your Profile Experience with any Big Data toolsHadoop, Spark, Kafka, Sqoop, Flume, Hive etc. Experience with any relational SQL and NoSQL databases, including Postgres, Cassandra, Sql Server, Oracle, Snowflake. Experience with any data pipeline and workflow management toolsAzkaban, Luigi, Airflow, etc. Experience in any Cloud platformsAzure, AWS or GCP. Experience with stream-processing systemsStorm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languagesPython, Java, C++, Scala, etc Must have hands-on experience in DevOps and CI/CD deployments. Should know basic and advance SQL and can write complex queries. Strong experience into data warehousing and dimensional modelling. Should be a very good team player to work in a geographically dispersed team . What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Experience in design and optimize data models supporting automotive industry analytics and reporting. Working with SAP ECC as a primary data source, leveraging Databricks and Azure Cloud to design scalable and efficient data architectures.

Responsibilities: Design conceptual, logical, and physical data models for a unified data platform. Define data product structures and ensure alignment with business needs. Collaborate with data engineers and architects to optimize database performance. Work on data governance, metadata management, and data lineage. Support testing and validation of data models with stakeholders. Required Skills: Expertise in data modeling tools (Erwin, ER/Studio, or equivalent). Strong understanding of relational and NoSQL databases. Experience with Azure based data solutions and ADLS 2.0. Knowledge of healthcare data and interoperability standards

Role description: The Global Business Intelligence & Analytics team plays a key role in this change. They focus on delivering insights to enable informed business decision making through the development and roll-out of standardized performance reporting. In addition, by providing insight in the success of the business transformation and the benefits and improvements we aim to achieve, such as increased billability and increased projects margins. Role accountabilities: Support implementation of the Global BI & Analytics scope with a technical focus. Responsible for design, development and testing of OBIA/OAC technology stack of tools (RPD/ODI/BICC/OAC/OBIA/PL-SQL) A hands-on role with design and development activities and internal client facing for functional discussions to improve the design or our BI and Analytics platform consisting of Oracle BI Reporting Repository/Model and development of KPIs, Metrics and Dashboards etc. Extensive Oracle BI tool experience is mandatory. Hands-on experience in repository (RPD) development (Physical, Logical and Presentation layer) using OBIEE Admin tool. Prepare Conceptual, Logical & Physical Data Models. Assist in designing Test Strategy, Test Plan & Test Cases Conduct Architecture & Design reviews to ensure that quality software engineering processes (DevOps) and methodologies in the space of OBIA RPD/ODI/Data Warehouse designs. Participate in Sprint Planning and Agile Framework process and methodologies. Effort, Strategic Planning, Project Scheduling, and developing & implementing Processes. Qualifications & Experience: Has a bachelors degree (or equivalent) in a technical / data discipline. Has a minimum of 4 years of experience in Oracle Business Intelligence Applications OBIA / Oracle BI Apps with expertise in gathering user requirements, designing, developing and support functions. Experience in dimensional modeling, designing data marts, star and snowflake schemas are essential. Must have worked in Oracle BI (OBIA) framework design and implementation projects end to end. Has experience with developing Reports & Dashboards using OBIEE Analysis, Interactive dashboards, and Data visualization tool. Good written and spoken English communication. Enthusiastic, positive, committed, and driven attitude. Strong analytical and data skills and attention to detail. Contribute to the overall success of a project / deliverable and achieve SLA and KPI targets set for the team. Contribute to process improvement initiatives and other administrative initiatives as part of the team's strategy. Power BI reporting and data modeling/engineering skills is a plus. Bring direct hands-on contribution with the creation and development of comprehensive content (dashboards, reports, processes, training material), to meet the requirements of various reporting tasks and projects, while ensuring adherence to global reporting standards. Data engineering skill set like, Creating variables, sequences, user functions, scenarios, procedures, interfaces, and packages in ODI. Any certification on ODI, OAC, OBIEE, OBIA is an added advantage.

Key Responsibilities : Design and develop data models to support business intelligence and analytics solutions. Work with Erwin or Erwin Studio to create, manage, and optimize conceptual, logical, and physical data models. Implement Dimensional Modelling techniques for data warehousing and reporting. Collaborate with business analysts, data engineers, and stakeholders to gather and understand data requirements. Ensure data integrity, consistency, and compliance with Banking domain standards. Work with Snowflake to develop and optimize cloud-based data models. Write and execute complex SQL queries for data analysis and validation. Identify and resolve data quality issues and inconsistencies. Required Skills & Qualifications : 7+ years of experience in Data Modelling and Data Analysis. Strong expertise in Erwin or Erwin Studio for data modeling. Experience with Dimensional Modelling and Data Warehousing (DWH) concepts. Proficiency in Snowflake and SQL for data management and querying. Previous experience in the Banking domain is mandatory. Strong analytical and problem-solving skills. Ability to work independently in a remote environment. Excellent verbal and written communication skills. Locatoin : - Remote

Role description: The Global Business Intelligence & Analytics team plays a key role in this change. They focus on delivering insights to enable informed business decision making through the development and roll-out of standardized performance reporting. In addition, by providing insight in the success of the business transformation and the benefits and improvements we aim to achieve, such as increased billability and increased projects margins. Role accountabilities: Support implementation of the Global BI & Analytics scope with a technical focus. Responsible for design, development and testing of OBIA/OAC technology stack of tools (RPD/ODI/BICC/OAC/OBIA/PL-SQL) A hands-on role with design and development activities and internal client facing for functional discussions to improve the design or our BI and Analytics platform consisting of Oracle BI Reporting Repository/Model and development of KPIs, Metrics and Dashboards etc. Extensive Oracle BI tool experience is mandatory. Hands-on experience in repository (RPD) development (Physical, Logical and Presentation layer) using OBIEE Admin tool. Prepare Conceptual, Logical & Physical Data Models. Assist in designing Test Strategy, Test Plan & Test Cases Conduct Architecture & Design reviews to ensure that quality software engineering processes (DevOps) and methodologies in the space of OBIA RPD/ODI/Data Warehouse designs. Participate in Sprint Planning and Agile Framework process and methodologies. Effort, Strategic Planning, Project Scheduling, and developing & implementing Processes. Qualifications & Experience: Has a bachelors degree (or equivalent) in a technical / data discipline. Has a minimum of 4 years of experience in Oracle Business Intelligence Applications OBIA / Oracle BI Apps with expertise in gathering user requirements, designing, developing and support functions. Experience in dimensional modeling, designing data marts, star and snowflake schemas are essential. Must have worked in Oracle BI (OBIA) framework design and implementation projects end to end. Has experience with developing Reports & Dashboards using OBIEE Analysis, Interactive dashboards, and Data visualization tool. Good written and spoken English communication. Enthusiastic, positive, committed, and driven attitude. Strong analytical and data skills and attention to detail. Contribute to the overall success of a project / deliverable and achieve SLA and KPI targets set for the team.? Contribute to process improvement initiatives and other administrative initiatives as part of the team's strategy. Power BI reporting and data modeling/engineering skills is a plus. Bring direct hands-on contribution with the creation and development of comprehensive content (dashboards, reports, processes, training material), to meet the requirements of various reporting tasks and projects, while ensuring adherence to global reporting standards.? Data engineering skill set like, Creating variables, sequences, user functions, scenarios, procedures, interfaces, and packages in ODI. Any certification on ODI, OAC, OBIEE, OBIA is an added advantage.

Dear Greetings from HR Central !!! Role : Global Data Engineer- Azure Location :Bangalore and Gurgaon Work Mode: Hybrid RESPONSIBILITIES OF THE ROLE Design, build, and maintain large-scale data systems, including data warehouses, lakes, and pipelines. Develop and implement data infrastructure, such as databases, data processing frameworks, and data storage solutions. Ensure data quality, integrity, and security, and develop data governance policies and procedures. Work with data scientists and analysts to understand data requirements and develop solutions to meet their needs. Develop and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources. Optimize data systems for performance, scalability, and reliability. Collaborate with cross-functional people teams, regional and business leads. Stay up-to-date with new technologies and tools in the field of data engineering. Develop and maintain documentation and best practices for data engineering. Troubleshoot and resolve data system issues and errors. KNOWLEDGE AND EXPERIENCE Bachelors degree in computer science, Information Technology, or related field. Certified Data Engineer (CDE) or equivalent certifications would be a plus. Programming languages: Java, Python, Scala, SQL Data technologies: Hadoop, Spark, Hive, Pig, Presto Data storage: Relational databases, NoSQL databases, data warehouses Data processing: ETL, data pipelines, data streaming Cloud platforms: AWS, GCP, Azure Data governance and security Data modeling and architecture Agile development methodology 5+ years in data engineering, software engineering, or related field Experience with large-scale data systems and big data technologies Strong understanding of data modeling, data warehousing, and ETL processes Experience with cloud-based data platforms and services Strong programming skills in languages such as Java, Python, or Scala Experience with data governance, security, and quality control Strong collaboration and communication skills If the above requirement matches to your profile, kindly share your updated resume at rajalakshmi@hr-central.in Reg Rajalakshmi Manoharan HR consultant

Data Modeller Permanent Chennai / Bangalore / Pune / Hyderabad / Delhi NCR Preferred candidate profile 6- 15+ years of experience in Data Modeling. Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server) Real-time experience working in OLAP & OLTP database models (Dimensional models). Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality. Eye to analyze data & comfortable with following agile methodology. Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP) Required Skills: Strong experience in SQL (tables, Attributes, joins, queries), Strong DWH Skills, Rational/Dimensional/ER Modeling, Data Valut modeling, OLAP/OLTP, Facts and Dimensions, Normalisation (3nf), Data marts, Schemas, Keys, Dimension types, M:M relationship & Forward /Reverse Engineering etc. Good to Have: Data valut, Tool experience (Erwin, ER Studio, Visio, Power Designer) & Cloud etc. If Interested, kindly share me your updated profile along with below details. Full Name: Contact #: Email ID: Total experience: Key skills: Current Location: Relocation: Current Employer: CTC (Including Variable): ECTC: Notice Period: Holding any offer:

Job Description Role requires him/her to design and implement data modeling solutions using relational, dimensional, and NoSQL databases. You will work closely with data architects to design bespoke databases using a mixture of conceptual, physical, and logical data models. Job title Data Modeler Hybrid role from Location: Bangalore, Chennai, Gurgaon, Pune, Kolkata Interviews: 3 rounds of 30 ~ 45 Minutes video-based Teams interviews Employment Type: Permanent Full Time with Tredence Total Experience 9~13 years Required Skills Data Modeling, Dimensional modeling, ErWIN, Data Management, RDBMS, SQL/NoSQL, ETL What we look for: BE/B.Tech or equivalent The data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests. 9~13 years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. Experience in team management, communication, and presentation. Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL). Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively. Responsibilities Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning). Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Analyse and organize raw data. Build data systems and pipelines. Evaluate business needs and objectives. Interpret trends and patterns. Conduct complex data analysis and report on results. Prepare data for prescriptive and predictive modelling. Build algorithms and prototypes. Combine raw information from different sources. Explore ways to enhance data quality and reliability. Identify opportunities for data acquisition. Develop analytical tools and programs. Collaborate with data scientists and architects on several projects. Participate in code peer reviews to ensure our applications comply with best practices. Your Profile Experience with any Big Data tools:Hadoop, Spark, Kafka, Sqoop, Flume, Hive etc. Experience with any relational SQL and NoSQL databases, including Postgres, Cassandra, Sql Server, Oracle, Snowflake. Experience with any data pipeline and workflow management tools:Azkaban, Luigi, Airflow, etc. Experience in any Cloud platforms:Azure, AWS or GCP. Experience with stream-processing systems:Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages:Python, Java, C++, Scala, etc Must have hands-on experience in DevOps and CI/CD deployments. Should know basic and advance SQL and can write complex queries. Strong experience into data warehousing and dimensional modelling. Should be a very good team player to work in a geographically dispersed team . What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Exp - 11 to 20 Years Role - Data Modeling Architect / Senior Architect / Principal Architect Position - Permanent Locations - Hyderabad, Bangalore, Chennai, Pune, Delhi NCR JD: 10+ years of experience in Data Warehousing & Data Modeling . Decent SQL knowledge Able to suggest modeling approaches & Solutioning for a given problem. Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server) Real-time experience working in OLAP & OLTP database models (Dimensional models). Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality. Eye to analyze data & comfortable with following agile methodology. Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP) Enthuse to coach team members & collaborate with various stakeholders across the organization and take complete ownership of deliverables. Experience in contributing to proposals and RFPs Good experience in stakeholder management Decent communication and experience in leading the team

Exp - 5 to 10 Yrs Role - Data Modeller Position - Permanent Job Locations - DELHI, PUNE, CHENNAI, HYDERABAD, BANGALORE Experience & Skills: 5+ years of experience in strong Data Modeling and Data Warehousing skills Able to suggest modeling approaches for a given problem. Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server) Real-time experience working in OLAP & OLTP database models (Dimensional models). Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality. Eye to analyze data & comfortable with following agile methodology. Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP)

JOB DESCRIPTION Position : Director of Engineering - Data/AI Job Location: Hyderabad, India Department: Asia Technology Role Value Proposition We are seeking an experienced and highly skilled Director of Engineering to lead our Data and AI Engineering Team . The successful candidate will be responsible for managing a team of data and AI engineers and data and AI analysts, and will play a critical role in designing, developing, implementing, and maintaining our company's data platforms and AI platforms. This includes designing and building scalable data pipelines, designing and building data hub/data lakes in the cloud, ensuring data quality and integrity, and collaborating with cross-functional teams to deliver business insights and analytics. The ideal candidate will have a strong technical background in software engineering, data engineering, and cloud computing, AI solutions, as well as excellent leadership and communication skills. Key Responsibilities: Lead the design and implementation of scalable and efficient data hubs/lakes in the cloud. Lead the design and implementation of scalable and efficient AI solutions Help design and develop strategy for data ingestion, curation and consumption by the data producers and consumers. Help design the data pipelines and create data assets for the organization. Implement and enforce data governance policies and practices to ensure the security, integrity and quality of our data assets. Drive initiatives to maintain and improve data quality, collaborating with cross-functional teams to establish and monitor data quality metrics. Help design and develop data analytics strategy for the organization. Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Actively contribute to the development process, providing hands-on technical leadership and mentoring to the data engineering team. Identify skill gaps, provide coaching, and support the professional growth of team members, fostering a culture of continuous learning. Candidate Qualifications: Essential Business Experience and Technical Skills: Bachelor's or advanced degree in Computer Science, Engineering, or a related field. Proven track record of 12-15 years in data engineering, with significant experience in cloud-based data engineering solutions. Hands-on experience with design and development of cloud-based data hubs/lakes and defining the enterprise data strategy. Proficiency in implementing and managing data lakes in the cloud. Hands-on experience with large-scale data processing frameworks (e.g., Spark, Hadoop, Kafka). Proficient in programming languages such as Python or Java; familiarity with SQL and database technologies. Experience architecting scalable data systems on cloud platforms (AWS, GCP, Azure) preferably Azure data hub. Experience in data warehousing. (data modeling, dimensional modeling, ETL etc.) and data analytics frameworks (Azure Synapse). Demonstrated experience in implementing and managing data governance frameworks and ensuring high data quality standards. Strong leadership skills with the ability to lead and inspire a high-performing data engineering team, fostering a collaborative and innovative work environment. Excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders Why MetLife? At MetLife, we don't fit into a box, we create our own boxes. Our Global Technology team is helping to transform a customer-first Fortune 50 company - by offering the high-tech digital solutions customers have come to expect, while delivery high-touch customer care during the moments that matter most. Our tech teams enable the business, helping fuel MetLife's purpose: always with you, building a more confident future . It's where you can grow your career, driving digital transformation in an agile, open, and inclusive environment, where every voice carries weight, and no idea is left off the table. Here, innovation is everybodys job. Its not done within one team or in a lab. Whether youre driving continuous improvement with your DevOps team, integrating data science and AI into our decision making, or developing best-in-class digital and cloud solutions that protect customer data and personalize their experience, what you build matters as part of a team where together, we can do more.

Responsibilities: An Individual Contributor who has worked with ERP systems as sources with sound knowledge of Dimensional Modeling, Data Warehousing, implementation & Extensions of Oracle Business Intelligence Applications Experience in designing and development of data pipelines from variety of source systems into Data warehouse or lakehouse using ODI, Informatica Power Center or any other ETL/ELT technologies. Possess hands on experience to the Semantic modeling / metadata (RPD) modeling very well, developing, customizing, maintaining and support Complex Analysis, Data Visualizations and BI Publisher Reports in Oracle Analytics Cloud or Oracle Analytics Server as per requirement of the business users.

Curious about the role? What your typical day would look like? As an Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and Data Modeling Architect as demanded by each project to define, design, and deliver actionable insights. On a typical day, you might • Engage the clients & understand the business requirements to translate those into data models. • Analyze customer problems, propose solutions from a data structural perspective, and estimate and deliver proposed solutions. • Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights. • Use the Data Modelling tool to create appropriate data models • Create and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc. • Gather and publish Data Dictionaries. • Ideate, design, and guide the teams in building automations and accelerators • Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information. • Contribute to building data warehouse & data marts (on Cloud) while performing data profiling and quality analysis. • Use version control to maintain versions of data models. • Collaborate with Data Engineers to design and develop data extraction and integration code modules. • Partner with the data engineers & testing practitioners to strategize ingestion logic, consumption patterns & testing. • Ideate to design & develop the next-gen data platform by collaborating with cross-functional stakeholders. • Work with the client to define, establish and implement the right modelling approach as per the requirement • Help define the standards and best practices • Involve in monitoring the project progress to keep the leadership teams informed on the milestones, impediments, etc. • Coach team members, and review code artifacts. • Contribute to proposals and RFPs Job Requirement What do we expect? • 10+ years of experience in Data space. • Decent SQL knowledge • Able to suggest modeling approaches for a given problem. • Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server) • Real-time experience working in OLAP & OLTP database models (Dimensional models). • Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality. • Eye to analyze data & comfortable with following agile methodology. • Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP) • Enthuse to coach team members & collaborate with various stakeholders across the organization and take complete ownership of deliverables. • Experience in contributing to proposals and RFPs • Good experience in stakeholder management • Decent communication and experience in leading the team You are important to us, lets stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry .

Curious about the role? What your typical day would look like? As a Senior Data Engineer, you will work to solve some of the organizational data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member and Data Modeling lead as demanded by each project to define, design, and deliver actionable insights. On a typical day, you might • Engage the clients & understand the business requirements to translate those into data models. • Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights. • Contribute to Data Modeling accelerators • Create and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc. • Gather and publish Data Dictionaries. • Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information. • Use the Data Modelling tool to create appropriate data models. • Contribute to building data warehouse & data marts (on Cloud) while performing data profiling and quality analysis. • Use version control to maintain versions of data models. • Collaborate with Data Engineers to design and develop data extraction and integration code modules. • Partner with the data engineers to strategize ingestion logic and consumption patterns. Job Requirement Expertise and Qualifications What do we expect? • 6+ years of experience in Data space. • Decent SQL skills. • Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server) • Real-time experience working in OLAP & OLTP database models (Dimensional models). • Good understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality. • Eye to analyze data & comfortable with following agile methodology. • Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP). You are important to us, lets stay connected! Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry

Translate business needs to technical specificationsDesign, build and deploy BI solutions (e.g. reporting tools)Maintain and support data analytics platforms (e.g. MicroStrategy) Required Candidate profile Proven experience as a BI Developer or Data Scientist Industry experience is preferred Background in data warehouse design (e.g. dimensional modeling) and data mining

Translate business needs to technical specificationsDesign, build and deploy BI solutions (e.g. reporting tools)Maintain and support data analytics platforms (e.g. MicroStrategy)Create tools to store data Required Candidate profile Proven experience as a BI Developer or Data Scientist Industry experience is preferred Background in data warehouse design (e.g. dimensional modeling) and data mining In-depth understanding

About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Data Modeller. Experience: 7+ Years Skill Set: Data Modelling and SQL. Location: Pune, Hyderabad, Gurgaon Position in brief: We are more looking into technical with a piece of functional knowledge. at least 5 years of hands-on data modeling (conceptual, logical, and physical), data profiling, and data analysis skills SQL It should be Basic to intermediate level/ added advantage someone good with writing complex SQL queries ETL - should have an idea of how ETL process works/ should provide any ETL attributes and partition-related info as part of the data mapping document. Any tool experience is okay- ER Studio, ERWin, Sybase Power Designer. Detailed Job Description We are looking for a passionate Data Analyst/Data Modeler to build, optimize and maintain conceptual and logical/Physical database models. The Candidate will turn data into information, information into insight, and insight into business decisions. Responsibilities: Be responsible for gathering requirements from the business team and translating to technical requirements. Should be able to drive the projects and provide guidance wherever needed. Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models. The candidate must be able to work independently and collaboratively. Work with management to prioritize business and information needs. Requirements: Bachelors or masters degree in computer/data science technical or related experience. 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL/Big data platform technologies, and ETL and data ingestion protocols). Proven working experience as a data analyst/data modeler or a similar role. Technical expertise in designing data models, database design and data analysis. Prior experience involving in the migration of data from legacy systems to new solutions. Good knowledge of metadata management, data modelling, and related tools (Erwin or ER Studio or others) is required. Experience gathering and analysing system/business requirements and providing mapping documents for technical teams. Strong analytical skills with the ability to collect, organize, analyze, and disseminate. significant amounts of information with attention to detail and accuracy Hands-on experience with SQL Problem-solving attitude