50 Er Studio Jobs - Page 2

Dear Candidate, Hope you're doing well!!!! We are looking for an experienced Data Modeller Position: Data Modeller Experience: 8 Yrs to 18+ Yrs Location: Hyderabad Role & Responsibilities Role Overview: We are seeking a talented and forward-thinking Data Modeler for one of the large financial services GCC based in Hyderabad with responsibilities that include designing and implementing data models, ensuring data integrity and optimization, collaborating with stakeholders, supporting data queries, and ensuring data governance and compliance. Technical Requirements: Experience in Relational/Normalized Data Modelling Strong Business Analysis skills Proficiency in Data Analysis Ability to develop conceptual, logical, and physical data models to support business requirements • Experience in developing enterprise data models for OLTP, Analytics/AI/ML environments Familiarity with data modelling tools such as ER Studio, EA Sparx, Collibra Knowledge of metadata modelling, management, and tooling Implementation experience of physical models for interfaces, data stores, and cloud-based solutions Participation in governing data models Familiarity with Finance and Reference Data Models such as BIAN, ISO20022, FIBO, FSLDM Functional Requirements: Analyzing Data Requirements Creating/Modifying Entities and Attributes in BDM Identifying Reference Domains Peer reviewing BDM changes made by other Data Modelers Reviewing Physical data models to ensure alignment with logical definitions Uploading extension attributes into Collibra Coordinating modelling efforts across the Platform Resolving any overlap/duplication/contradiction in Platform BDM Adopting and enforcing standards and guidelines for BDM Preparing BDM for integration with GDM Attending cross-Platform sessions to coordinate at an enterprise level. This role offers a compelling opportunity for a seasoned Data Modeler to drive transformative cloud initiatives within the financial sector, leveraging unparalleled experience and expertise to deliver innovative cloud solutions that align with business imperatives and regulatory requirements. Qualification o Engineering Grad / Postgraduate CRITERIA o Proficient in relational data modeling and business analysis with metadata management experience. o Skilled in developing conceptual, logical, and physical data models for varied environments. o Familiarity with data modeling tools like ER Studio, EA Sparx, and Collibra. o Experience in creating and governing data models, including financial and reference models. o Ability to coordinate and resolve model discrepancies across platforms with a focus on integration. o Relevant Experience: 6-9 years If you are interested, kindly forward your latest CV kavita.khyata@wowjobs.biz immediately incorporating the following details: Current CTC: Expected CTC Notice period: Also, it would be greatly appreciated if you refer any of your friends having experience in the same field

As a PySpark Data Engineer, you must have a minimum of 2 years of experience in PySpark. Strong programming skills in Python, PySpark, and Scala are preferred. It is essential to have experience in designing and implementing CI/CD, Build Management, and Development strategies. Additionally, familiarity with SQL and SQL Analytical functions is required, along with participation in key business, architectural, and technical decisions. There is an opportunity for training in AWS cloud technology. In the role of a Python Developer, a minimum of 2 years of experience in Python/PySpark is necessary. Strong programming skills in Python, PySpark, and Scala are preferred. Experience in designing and implementing CI/CD, Build Management, and Development strategies is essential. Familiarity with SQL and SQL Analytical functions and participation in key business, architectural, and technical decisions are also required. There is a potential for training in AWS cloud technology. As a Senior Software Engineer at Capgemini, you should have over 3 years of experience in Scala with a strong project track record. Hands-on experience in Scala/Spark development and SQL writing skills on RDBMS (DB2) databases are crucial. Experience in working with different file formats like JSON, Parquet, AVRO, ORC, and XML is preferred. Previous involvement in a HDFS platform development project is necessary. Proficiency in data analysis, data profiling, and data lineage, along with strong oral and written communication skills, is required. Experience in Agile projects is a plus. For the position of Data Modeler, expertise in data structures, algorithms, calculus, linear algebra, machine learning, and modeling is essential. Knowledge of data warehousing concepts such as Star schema, snowflake, or data vault for data mart or data warehousing is required. Proficiency in using data modeling software like Erwin, ER studio, MySQL Workbench to produce logical and physical data models is necessary. Hands-on knowledge and experience with tools like PL/SQL, PySpark, Hive, Impala, and other scripting tools are preferred. Experience with Software Development Lifecycle using the Agile methodology is essential. Strong communication and stakeholder management skills are crucial for this role. In this role, you will design, develop, and optimize PL/SQL procedures, functions, triggers, and packages. You will also write efficient SQL queries, joins, and subqueries for data retrieval and manipulation. Additionally, you will develop and maintain database objects such as tables, views, indexes, and sequences. Optimizing query performance and troubleshooting database issues to improve efficiency are key responsibilities. Collaboration with application developers, business analysts, and system architects to understand database requirements is essential. Ensuring data integrity, consistency, and security within Oracle databases is also a crucial aspect of the role. Developing ETL processes and scripts for data migration and integration are part of the responsibilities. Documenting database structures, stored procedures, and coding best practices is required. Staying up-to-date with Oracle database technologies, best practices, and industry trends is essential for success in this role.,

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 Modeler. 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

Data Modeler Hybrid Data Environments Job Summary: We are in search of an experienced Data Modeler who possesses a deep understanding of traditional data stores such as SQL Server and Oracle DB, as well as proficiency in Azure/Databricks cloud environments. The ideal candidate will be adept at comprehending business processes and deriving methods to define analytical data models that support enterprise-level analytics, insights generation, and operational reporting. Key Responsibilities: - Collaborate with business analysts and stakeholders to understand business processes and requirements, translating them into data modeling solutions. - Design and develop logical and physical data models that effectively capture the granularity of data necessary for analytical and reporting purposes. - Migrate and optimize existing data models from traditional on-premises data stores to Azure/Databricks cloud environments, ensuring scalability and performance. - Establish data modeling standards and best practices to maintain the integrity and consistency of the data architecture. - Work closely with data engineers and BI developers to ensure that the data models support the needs of analytical and operational reporting. - Conduct data profiling and analysis to understand data sources, relationships, and quality, informing the data modeling process. - Continuously evaluate and refine data models to accommodate evolving business needs and to leverage new data modeling techniques and cloud capabilities. - Document data models, including entity-relationship diagrams, data dictionaries, and metadata, to provide clear guidance for development and maintenance. - Provide expertise in data modeling and data architecture to support the development of data governance policies and procedures. Qualifications: - Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. - Minimum of 5 years of experience in data modeling, with a strong background in both traditional RDBMS and modern cloud-based data platforms. - Proficiency in SQL and experience with data modelling tools (e.g., ER/Studio, ERwin, PowerDesigner). - Familiarity with Azure cloud services, Databricks, and other big data technologies. - Understanding of data warehousing concepts, including dimensional modeling, star schemas, and snowflake schemas. - Ability to translate complex business requirements into effective data models that support analytical and reporting functions. - Strong analytical skills and attention to detail. - Excellent communication and collaboration abilities, with the capacity to engage with both technical and non-technical stakeholders.

Job Role: A Data Modeler designs and creates data structures to support business processes and analytics, ensuring data integrity and efficiency. They translate business requirements into technical data models, focusing on accuracy, scalability, and consistency. Here's a more detailed look at the role: Responsibilities: Designing and developing data models: This includes creating conceptual, logical, and physical models to represent data in a structured way. Translating business needs : They work with stakeholders to understand business requirements and translate them into actionable data structures. Ensuring data integrity: They implement data validation rules and constraints to maintain the accuracy and reliability of data. Optimizing data models: Data modelers optimize models for performance, scalability, and usability, ensuring data can be efficiently stored and retrieved. Collaborating with other teams : They work with database administrators, data engineers, and business analysts to ensure data models align with business needs and technical requirements. Documenting data models: They provide clear documentation of data structures and relationships, including entity-relationship diagrams and metadata. Skills: Data modeling techniques: Knowledge of various data modeling approaches, including normalization, denormalization, and dimensional modeling. Database technologies: Understanding of relational databases, NoSQL databases, and other database systems. SQL: Proficiency in writing SQL queries for database management and data manipulation. Data modeling tools: Familiarity with tools like PowerDesigner, ERwin, or Visio. Communication and collaboration: Strong communication skills to effectively work with diverse teams and stakeholders. Problem-solving:. Ability to identify and resolve data model performance issues and ensure data accuracy.

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 data bases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests. 7+ 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. Required Skills Required Skills - Data Modeling, Dimensional modeling, Erwin, Data Management, RDBMS, SQL/NoSQL, ETL

Your Role Data Modeler Good knowledge and expertise on data structures and algorithms and calculus, linear algebra, machine learning and modeling. Experience in data warehousing concepts including Star schema, snowflake or data vault for data mart or data warehousing Experience using data modeling software like Erwin, ER studio, MySQL Workbench to produce logical and physical data models. Knowledge of enterprise databases such as DB2/Oracle/PostgreSQL/MYSQL/SQL Server. Hands on knowledge and experience with tools and techniques for analysis, data manipulation and presentation (e.g. PL/SQL, PySprak, Hive, Impala and other scripting tools) Experience with Software Development Lifecycle using the Agile methodology. Knowledge of agile methods (SAFe, Scrum, Kanban) and tools (Jira or Confluence) Expertise in conceptual modelling; ability to see the big picture and envision possible solutions Experience in working in a challenging, fast-paced environment Excellent communication & stakeholder management skills. Your Profile Experience in data warehousing concepts including Star schema, snowflake or data vault for data mart or data warehousing Experience using data modeling software like Erwin, ER studio, MySQL Workbench to produce logical and physical data models. Experience in working in a challenging, fast-paced environment Excellent communication & stakeholder management skills. What youll love about working here Choosing Capgemini means having the opportunity to make a difference, whether for the worlds leading businesses or for society. It means getting the support you need to shape your career in the way that works for you. It means when the future doesnt look as bright as youd like, you have the opportunity to make change: to rewrite it. When you join Capgemini, you dont just start a new job. You become part of something bigger. A diverse collective of free-thinkers, entrepreneurs and experts, all working together to unleash human energy through technology, for an inclusive and sustainable future. At Capgemini, people are at the heart of everything we do! You can exponentially grow your career by being part of innovative projects and taking advantage of our extensive Learning & Development programs. With us, you will experience an inclusive, safe, healthy, and flexible work environment to bring out the best in you! You also get a chance to make positive social change and build a better world by taking an active role in our Corporate Social Responsibility and Sustainability initiatives. And whilst you make a difference, you will also have a lot of fun. About Capgemini

Role & responsibilities Job Summary We are looking for experienced Data Modelers to support large-scale data engineering and analytics initiatives. The role involves developing logical and physical data models, working closely with business and engineering teams to define data requirements, and ensuring alignment with enterprise standards. • Independently complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, Spark, Data Bricks Delta Lakehouse or other Cloud data warehousing technologies. • Governs data design/modelling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. • Develop a deep understanding of the business domains like Customer, Sales, Finance, Supplier, and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Drive collaborative reviews of data model design, code, data, security features to drive data product development. • Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; SAP Data Model. • Develop reusable data models based on cloud-centric, code-first approaches to data management and data mapping. • Partner with the data stewards team for data discovery and action by business customers and stakeholders. • Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. • Assist with data planning, sourcing, collection, profiling, and transformation. • Support data lineage and mapping of source system data to canonical data stores. • Create Source to Target Mappings (STTM) for ETL and BI developers. Preferred candidate profile Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / Manufacturing/Sales/Finance/Supplier/Customer domains ) • Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake. • Experience with version control systems like GitHub and deployment & CI tools. • Experience of metadata management, data lineage, and data glossaries is a plus. • Working knowledge of agile development, including DevOps and DataOps concepts. • Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retails Data like IRI, Nielsen Retail.

Job Description - Design and develop conceptual, logical, and physical data models for enterprise and application-level databases. Translate business requirements into well-structured data models that support analytics, reporting, and operational systems. Define and maintain data standards, naming conventions, and metadata for consistency across systems. Collaborate with data architects, engineers, and analysts to implement models into databases and data warehouses/lakes. Analyze existing data systems and provide recommendations for optimization, refactoring, and improvements. Create entity relationship diagrams (ERDs) and data flow diagrams to document data structures and relationships. Support data governance initiatives including data lineage, quality, and cataloging. Review and validate data models with business and technical stakeholders. Provide guidance on normalization, denormalization, and performance tuning of database designs. Ensure models comply with organizational data policies, security, and regulatory requirements. Confirmation Questions: 1. This is a permanent employment opportunity with Pyramid IT . Are you fine with this? (Y/N) 3. This position may require working in shifts. Are you fine with this? (Y/N) 4. Current CTC: 5. Expected CTC: 6. Total Experience | Relevant Experience: 7. Official Notice Period: 8. If selected, how soon can you join (in days)? 9. Do you have a Notice Period Buyout option? (Y/N) 10. Preferred day & time for a telephonic/F2F interview on weekdays: 11. Are you currently holding any other offer? (Y/N) 12. Reason for job change: 13. PAN Card Number: 14. Aadhar Number: 15. Alternate Contact Number: Your prompt response along with your updated profile will be highly appreciated. Looking forward to your confirmation. Thanks & Regards Tagore Laya Sr. Executive - Resourcing M 7842100374 E Tagore.Laya@pyramidconsultinginc.com www.pyramidci.com

Proficiency in data modeling tools such as ER/Studio, ERwin or similar. Deep understanding of relational database design, normalization/denormalization, and data warehousing principles. Experience with SQL and working knowledge of database platforms like Oracle, SQL Server, PostgreSQL, or Snowflake. Strong knowledge of metadata management, data lineage, and data governance practices. Understanding of data integration, ETL processes, and data quality frameworks. Ability to interpret and translate complex business requirements into scalable data models. Excellent communication and documentation skills to collaborate with cross-functional teams.

Role - Data Modeler/Senior Data Modeler Exp - 5 to 12 Yrs Locs - Hyderabad, Pune, Bengaluru Position - Permanent Must have skills: - Strong SQL - Strong Data Warehousing skills - ER/Relational/Dimensional Data Modeling - Data Vault Modeling - OLAP, OLTP - Schemas & Data Marts Good to have skills: - Data Vault - ERwin / ER Studio - Cloud Platforms (AWS or Azure)

Locations - Pune/Bangalore/Hyderabad/Indore Contract duration- 6 months Responsibilities 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. Implement business and IT data requirements through new data strategies and designs across all data platforms (relational & dimensional - MUST and NoSQL-optional) 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. Must have Payments Background Skills 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. Experience with Erwin, Visio or any other relevant tool.

Job Information Job Opening ID ZR_2385_JOB Date Opened 23/10/2024 Industry IT Services Job Type Work Experience 8-12 years Job Title Data modeller City Bangalore South Province Karnataka Country India Postal Code 560066 Number of Positions 1 Locations - Pune/Bangalore/Hyderabad/Indore Contract duration- 6 months Responsibilities 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. Implement business and IT data requirements through new data strategies and designs across all data platforms (relational & dimensional - MUST and NoSQL-optional) 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. Must have Payments Background Skills 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. Experience with Erwin, Visio or any other relevant tool. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Data Modeller Role & Responsibilities Role Overview: We are seeking a talented and forward-thinking Data Modeler for one of the large financial services GCC based in Hyderabad with responsibilities that include designing and implementing data models, ensuring data integrity and optimization, collaborating with stakeholders, supporting data queries, and ensuring data governance and compliance. Technical Requirements: Experience in Relational/Normalized Data Modelling Strong Business Analysis skills Proficiency in Data Analysis Ability to develop conceptual, logical, and physical data models to support business requirements Experience in developing enterprise data models for OLTP, Analytics/AI/ML environments Familiarity with data modelling tools such as ER Studio, EA Sparx, Collibra Knowledge of metadata modelling, management, and tooling Implementation experience of physical models for interfaces, data stores, and cloud-based solutions Participation in governing data models Familiarity with Finance and Reference Data Models such as BIAN, ISO20022, FIBO, FSLDM Functional Requirements: Analyzing Data Requirements Creating/Modifying Entities and Attributes in BDM Identifying Reference Domains Peer reviewing BDM changes made by other Data Modelers Reviewing Physical data models to ensure alignment with logical definitions Uploading extension attributes into Collibra Coordinating modelling efforts across the Platform Resolving any overlap/duplication/contradiction in Platform BDM Adopting and enforcing standards and guidelines for BDM Preparing BDM for integration with GDM Attending cross-Platform sessions to coordinate at an enterprise level. This role offers a compelling opportunity for a seasoned Data Modeler to drive transformative cloud initiatives within the financial sector, leveraging unparalleled experience and expertise to deliver innovative cloud solutions that align with business imperatives and regulatory requirements. Qualification Engineering Grad / Postgraduate CRITERIA Proficient in relational data modeling and business analysis with metadata management experience. Skilled in developing conceptual, logical, and physical data models for varied environments. Familiarity with data modeling tools like ER Studio, EA Sparx, and Collibra. Experience in creating and governing data models, including financial and reference models. Ability to coordinate and resolve model discrepancies across platforms with a focus on integration. Relevant Experience: 6-9 years

More than 5+ years of experience in data modelling – designing, implementing, and maintaining data models to support data quality, performance and scalability. Proven experience as a Data Modeler and worked with data analysts, data architects and business stakeholders to ensure data models are aligned to business requirements. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / Manufacturing/Sales/Finance/Supplier/Customer domains ) Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake. Experience with version control systems like GitHub and deployment & CI tools. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retails Data like IRI, Nielsen Retail. Must Have: Data Modeling, Data Modeling Tool experience, SQL Nice to Have: SAP HANA, Data Warehouse, Databricks, CPG"

Role & responsibilities Preferred candidate profile Job Title: Data Modeller Location : Hyderabad (Hybrid) Criteria Proficient in relational data modeling and business analysis with metadata management experience. Skilled in developing conceptual, logical, and physical data models for varied environments. Familiarity with data modeling tools like ER Studio, EA Sparx, and Collibra. Experience in creating and governing data models, including financial and reference models. Ability to coordinate and resolve model discrepancies across platforms with a focus on integration. Relevant Experience: 6-9 year Technical Requirements: Experience in Relational/Normalized Data Modelling Strong Business Analysis skills Proficiency in Data Analysis Ability to develop conceptual, logical, and physical data models to support business requirements Experience in developing enterprise data models for OLTP, Analytics/AI/ML environments Familiarity with data modelling tools such as ER Studio, EA Sparx, Collibra Knowledge of metadata modelling, management, and tooling Implementation experience of physical models for interfaces, data stores, and cloud-based solutions Participation in governing data models Familiarity with Finance and Reference Data Models such as BIAN, ISO20022, FIBO, FSLDM Functional Requirements: Analyzing Data Requirements Creating/Modifying Entities and Attributes in BDM Identifying Reference Domains Peer reviewing BDM changes made by other Data Modelers Reviewing Physical data models to ensure alignment with logical definitions Uploading extension attributes into Collibra Coordinating modelling efforts across the Platform Resolving any overlap/duplication/contradiction in Platform BDM Adopting and enforcing standards and guidelines for BDM Preparing BDM for integration with GDM Attending cross-Platform sessions to coordinate at an enterprise level

Hiring for TOP MNC for Data Modeler positon (Long term contract - 2+ Years) The Data Modeler designs and implements data models for Microsoft Fabric and Power BI, supporting the migration from Oracle/Informatica. This offshore role ensures optimized data structures for performance and reporting needs. The successful candidate will bring expertise in data modeling and a collaborative approach. Responsibilities Develop conceptual, logical, and physical data models for Microsoft Fabric and Power BI solutions. Implement data models for relational, dimensional, and data lake environments on target platforms. Collaborate with the Offshore Data Engineer and Onsite Data Modernization Architect to ensure model alignment. Define and govern data modeling standards, tools, and best practices. Optimize data structures for query performance and scalability. Provide updates on modeling progress and dependencies to the Offshore Project Manager. Skills Bachelors or masters degree in computer science, data science, or a related field. 5+ years of data modeling experience with relational and NoSQL platforms. Proficiency with modeling tools (e.g., Erwin, ER/Studio) and SQL. Experience with Microsoft Fabric, data lakes, and BI data structures. Strong analytical and communication skills for team collaboration. Attention to detail with a focus on performance and consistency. management, communication, and presentation

What you 'll do: Work closely with our product management, internal stakeholders and customers to identify, validate and document new system requests, oversee proper implementation by providing acceptance criteria and act as a liaison between the business users and the developers. Be an integral part of our dynamic agile R&D team, become an expert with our innovative product and contribute to the product's vision. Perform enterprise level and project level data modelling, including model management, consolidation and integration Understand business requirements and translate to Conceptual (CDM), Logical (LDM) and Physical (PDM) data model by using industry standards Managing Data Model for multiple projects and make sure data model in all projects are synchronized and adhering to Enterprise Architecture with proper change management Establish and manage existing standards for naming and abbreviation conventions, data definitions, ownership, documentation, procedures, and techniques Adopt, support, and participate in the implementation of the Enterprise Data Management Strategy Experience in creating P&C, Life & health insurance/BFSI-specific target data models, meta data layer and data marts. Experience in Medallion (Lakehouse) Architecture. Collaborate with Application team to implement data flows, samples and develop conceptual-logical data models Ensure reusability of model and approach in across different business requirements Support data specific system integration and support data migration Good to have experience in modelling MongoDB schema What to Have for this position. Must have Skills. Min 5+ years as data modeler involved in mid- to large-scale system development projects and have experience in Data Analysis, Data Modelling and Data Mart designing. Overall experience of 8+ years Should have Data analysis/profiling and reverse engineering of data experience. Experience of working on a data migration project is a plus Prior experience in BFSI domain [Insurance would be a plus] Should have experience in ER Studio/Toad data Modeler or equivalent tool Should be strong in Data warehousing concepts Should have strong database development skills like complex SQL queries, complex store procedures Should be strong in Medallion (Lakehouse) Architecture. Good verbal and written communication skills in English Ability to work with minimal guidance or supervision in a time critical environment.

Azure Data Modeler - candidate will have a strong background in data modeling, database design, and experiencewith Azure data services. requires excellent analytical skills and the ability to translate business requirements into effective data models

More than 2+ years of experience in data modelling designing, implementing, and maintaining data models to support data quality, performance and scalability. Proven experience as a Data Modeller and worked with data analysts, data architects and business stakeholders to ensure data models are aligned to business requirements. Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / Manufacturing/Sales/Finance/Supplier/Customer domains ) Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake. Experience with version control systems like GitHub and deployment & CI tools. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Working knowledge of SAP data models, particularly in HANA and S/4HANA, Retail Data like IRI, Nielsen Retail. Must Have: Data Modeling, Data Modeling Tool experience, SQL Nice to Have: SAP HANA, Data Warehouse, Databricks, CPG" Immediate Joiners only Please apply only if you meet the given requirements

Job Title: Data Modeler Experience: 5+ Years Location: Hyderabad (WFO). Roles and Responsibilities: Experience in data modelling designing, implementing, and maintaining data models to support data quality, performance, and scalability. Proven experience as a Data Modeler and worked with data analysts, data architects and business stakeholders to ensure data models are aligned to business requirements. Expertise in Azure, Databricks, Data warehousing, ERWIN, and Supply chain background is required. Strong knowledge of data modelling principles and techniques (e.g., ERD, UML). Proficiency with data modelling tools (e.g., ER/Studio, Erwin, IBM Data Architect). Experience with relational databases (e.g., SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Solid understanding of data warehousing, ETL processes, and data integration. Able to create and maintain Source to Target mapping [STTM] Document , Bus Matrix Document , etc. Realtime experience working in OLTP & OLAP Database modelling. Additional: Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. Excellent analytical, problem-solving, and communication skills. Ability to work effectively in a collaborative, fast-paced environment.

Expert in Data Modeling with strong MS SQL skills and hands-on experience in ER Studio. Excellent communication skills to work with US clients and translate business needs into data models. Mail:kowsalya.k@srsinfoway.com

Job Title: ======= Senior MS BI Developer Onsite Location: ============= Dubai, UAE Doha , Qatar Riyadh, Saudi Onsite Monthly Salary: ============== 10k AED - 15k AED - Full tax free salary , Depending on Experience Gulf work permit will be sponsored by our client Project duration: ============= 2 Years, Extendable Desired Experience Level Needed: =========================== 5 - 10 Years Qualification: ========== B.Tech / M.Tech / MCA / M.Sc or equivalent Experience Needed: =============== Over all: 5 or more Years of total IT experience Solid 3+ Years experience or MS - BI Developer with Microsoft Stack / MS - DWH Engineer Job Responsibilities: ================ - Design and develop DWH data flows - Able to build SCD -1 / SCD - 2 / SCD -3 dimensions - Build Cubes - Maintain SSAS / DWH data - Design Microsoft DWH & its ETL packages - Able to code T-SQL - Able to create Orchestrations - Able to design batch jobs / Orchestrations runs - Familiarity with data models - Able to develop MDM (Master Data Management) Experience: ================ - Experience as DWH developer with Microsoft DWH data flows and cubes - Exposure and experience with Azure services including Azure Data Factory - Sound knowledge of BI practices and visualization tools such as PowerBI / SSRS/ QlikView - Collecting / gathering data from various multiple source systems - Creating automated data pipelines - Configuring Azure resources and services Skills: ================ - Microsoft SSIS / SSAS / SSRS - Informatica - Azure Data Factory - Spark - SQL Nice to have: ========== - Any on site experience is added advantage, but not mandatory - Microsoft certifications are added advantage Business Vertical: ============== - Banking / Investment Banking - Capital Markets - Securities / Stock Market Trading - Bonds / Forex Trading - Credit Risk - Payments Cards Industry (VISA/ Master Card/ Amex) Job Code: ====== MSBI_DEVP_0525 No.of positions: ============ 05 Email: ===== spectrumconsulting1977@gmail.com if you are interested, please email your CV as ATTACHMENT with job ref. code [ MSBI_DEVP_0525 ] as subject

Dear Candidate, We are hiring a Data Engineer to build scalable data pipelines and infrastructure to power analytics and machine learning. Ideal for those passionate about data integrity, automation, and performance. Key Responsibilities: Design ETL/ELT pipelines using tools like Airflow or dbt Build data lakes and warehouses (BigQuery, Redshift, Snowflake) Automate data quality checks and monitoring Collaborate with analysts, data scientists, and backend teams Optimize data flows for performance and cost Required Skills & Qualifications: Proficiency in SQL, Python, and distributed systems (e.g., Spark) Experience with cloud data platforms (AWS, GCP, or Azure) Strong understanding of data modeling and warehousing principles Bonus: Experience with Kafka, Parquet/Avro, or real-time streaming Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

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: 5+ 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