23 Data Modeler Jobs

As an experienced Data Modeler with 5+ years of proven experience in complex data environments, you will be responsible for designing and developing scalable, efficient, and future-proof data models to support reporting, analytics, and data integration initiatives at AceNet Consulting. Your expertise in Azure Fabrics, Azure Data Lake, and Azure Data Factory for ETL processes will be crucial in integrating data from source systems such as Oracle E-Business Suite/Fusion and Microsoft CRM into Azure platforms. Your key responsibilities will include designing and developing data models (conceptual, logical, and physical), collaborating with data engineers for data pipelines, leveraging Azure Fabrics/Data Lake for data storage and processing, ensuring data quality and governance, and optimizing data models for performance and scalability. You will also be required to develop and enforce best practices for data architecture, ETL processes, and data governance, as well as perform data profiling and analysis to identify and resolve data quality issues. To excel in this role, you must possess strong problem-solving skills, excellent communication abilities to interact effectively with technical and non-technical stakeholders, and familiarity with data warehousing concepts, star/snowflake schemas, and dimensional modeling. Additionally, experience with tools such as Azure Purview, Power BI, Azure Synapse Analytics, and Databricks will be advantageous. Microsoft Azure certifications and familiarity with Agile methodologies and CI/CD practices for data projects are considered a plus. Joining our dynamic team at AceNet Consulting will provide you with opportunities to work on transformative projects, cutting-edge technology, and innovative solutions with leading global firms across various industry sectors. We offer continuous investment in employee growth and professional development, competitive compensation and benefits, ESOPs, international assignments, a supportive environment with a focus on work-life balance and employee well-being, and an open culture that values diverse perspectives and encourages transparent communication. If you believe you are the ideal candidate for this position and are passionate about technology and thrive in a fast-paced environment, we encourage you to apply by submitting your resume.,

Job Type: C2H (Contract to Hire) As a Data Modeler, you will be a central figure in our innovative team, responsible for designing and defining the data structures that empower our entire organization. You will translate complex business requirements into clear and efficient conceptual, logical, and physical data models for our new healthcare company's data warehouse and analytics platforms. Your work will be the essential blueprint for how we store, consume, and understand our data, ensuring that it is accurate, consistent, and structured to generate actionable business insights. Core Responsibilities: (essential job duties and responsibilities) Design, develop, and maintain conceptual, logical, and physical data models using industry best practices and methodologies (e.g., Inmon, Kimball, Data Vault). Collaborate directly with business stakeholders, analysts, and subject matter experts to gather, analyze, and translate business requirements into detailed data definitions and structures. Develop and maintain a comprehensive data dictionary and metadata repository to document data lineages, definitions, and business rules. Work closely with Data Engineers to ensure that the data models are implemented accurately in the physical database (Snowflake) and that ETL processes align with the model's design. Establish and enforce data modeling standards and best practices to ensure consistency and quality across all data assets. Perform data analysis and write complex SQL queries to profile source systems, validate data, and ensure model integrity. Support the evolution of the data warehouse by adapting and extending data models to meet new and changing business needs. Required Skills and Experiences: Deep expertise in data modeling methodologies and a proven track record of designing and implementing large-scale data models for data warehousing and analytics. Advanced SQL skills for data profiling, analysis, and validation. Hands-on experience with data modeling tools. A strong understanding of data warehousing architecture, ETL/ELT processes, and business intelligence concepts. Exceptional analytical and problem-solving skills, with the ability to deconstruct complex business processes into clear data requirements. Excellent communication and interpersonal skills, with a proven ability to facilitate discussions between business and technical teams. Meticulous attention to detail and a passion for creating well-organized, thoroughly documented work. Minimum Qualifications: 6+ years of dedicated experience in a Data Modeler or Data Architect role. 4+ years of experience working directly with business users to define and document requirements. 4+ years of experience modeling for a major database or cloud data warehouse (Snowflake, Databricks, AWS, AZURE). 2+ years of experience creating and managing both logical and physical data models for ERPs (SAP S4, MS Dynamics, BPCS, A+, etc) Nice to Have: Experience with data governance and master data management (MDM). Familiarity with data visualization tools (e.g., Tableau, Power BI). Knowledge of scripting languages (e.g., Python) Education: Bachelors in computer science, Information Systems, Engineering, science discipline, or similar

We are hiring "Data Modeler OR Data Analytics(2 different Position") for one of our "IT Services & Consulting-MNC" at Pune location. EXP-6+ Mode-Permanent Skills: Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping. • Comprehensive understanding of the Data Modeling (conceptual, logical, and physical), create and deliver high-quality data models, by following agreed data governance and standards. • Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid. • Should be an individual contributor with good understanding of the SDLC & Agile methodologies.

As part of the SAP team, you will have the opportunity to bring out your best in a collaborative environment dedicated to helping the world run better. Our company culture is centered on fostering teamwork, embracing diversity, and creating a workplace that values flexibility and aligns with our purpose-driven and forward-thinking approach to work. We are committed to building a strong foundation for the future and offer a caring team setting that prioritizes learning and development, recognizes individual contributions, and provides a range of benefits for your well-being. SAP is at the forefront of innovation, empowering over four hundred thousand customers globally to enhance collaboration and leverage business insights more effectively. From our origins in enterprise resource planning (ERP) software to our current position as a leader in comprehensive business application software and associated services in areas like database management, analytics, intelligent technologies, and experience management, we are a cloud company with a vast user base and a global workforce. Our focus on purpose-driven work, future-oriented mindset, and dedication to personal growth create a highly collaborative environment where your best self can thrive. Inclusivity is a core value at SAP, reflected in our culture of diversity, emphasis on health and well-being, and support for flexible work arrangements that enable every individual, regardless of background, to perform at their highest potential. We believe that our strength lies in the unique skills and attributes that each person brings to our organization, and we invest in our employees to foster confidence and unleash their full capabilities. Our commitment to unleashing talent and promoting a more equitable world underscores our belief in the power of inclusion. At SAP, we uphold equal opportunity principles and are proud to be an affirmative action employer. We are dedicated to Equal Employment Opportunity values and offer accessibility accommodations for applicants with physical and/or mental disabilities. For individuals seeking employment at SAP who require assistance or accommodations during the application process, please reach out to our Recruiting Operations Team at Careers@sap.com. For existing SAP employees, the SAP Employee Referral Program is available for permanent roles, subject to the eligibility criteria outlined in the SAP Referral Policy. Specific conditions may apply for roles within Vocational Training. If you are considering a career at SAP and wish to contribute to our mission of helping industries, people, and platforms connect effectively to overcome challenges, we invite you to bring out your best with us. Please note that successful candidates may undergo a background verification process conducted by an external vendor. Requisition ID: 421281 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.,

Greetings from Cognizant!!! We have an exciting opportunity for the skill Data Modeler with Cognizant, if you are an aspirant for matching the below criteria apply with us immediately!! Skill: Data Modeler Experience: 6 to 9 years Location: Hyderabad Notice Period: immediate to 60 days Interview mode : Virtual If you're interested kindly fill the below details and share your updated resume arunadevi.e@cognizant.com and will reach you shortly also refer your friends for this opportunity.

Greetings from Cognizant!!! We have an exciting opportunity for the skill Data Modeler (Oracle, MongoDB, PostgreSQL) with Cognizant, if you are an aspirant for matching the below criteria apply with us immediately!! Skill: Data Modeler (Oracle, MongoDB, PostgreSQL) Experience: 5 to 9 years Location: Hyderabad Notice Period: immediate to 60 days Interview mode : Face to Face ( In person ) Interview Date : 24-July-25 If you're interested kindly fill the details and share your updated resume arunadevi.e@cognizant.com and will reach you shortly also refer your friends for this opportunity.

Position Summary MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science. Role Value Proposition The Business analyst data modeler has an important role in the data and analytics (D&A) organization. The role ensures, data is structured, organized and is represented effectively aligned to the needs of the organization. The role helps design logical & physical models which include implementation of robust data models that accurately capture, store, and manage data end to end. Job Responsibilities Perform data modeling activity (Logical, Physical) using data modeling tool CA Erwin Data Modeler Ability to gather, understand & analyze business requirements accurately Ability to analyze data using SQL Partnering with other teams to understand data needs & translating it into effective data models. Ability to collaborate with stakeholders to provide domain-based solutions. Experience in implementing industry data modeling standards, best practices, and emerging technologies in data modeling Hands-on experience with API development and integration (REST, SOAP, JSON, XML). Education, Technical Skills & Other Critical Requirement 1. 8 - 10 years of overall experience with minimum 5+ years in the field of Data modeling, business & functional requirements gathering, designing data strategies and data flows, data/ETL/BI architecture, delivering logical/physical data models in collaboration with business/application teams and BSAs 2. 3+ years Hands on experience in CA Erwin 3. 5+ years of experience in SQL, data modelling and data analysis 4. Ability to communicate effectively 5. Strong SQL skills 6 Hands-on experience with ERWIN tool 7. Familiarity with Agile best practices 8. Strong collaboration and facilitation skills

Job role & responsibilities:- Understanding operational needs by collaborating with specialized teams Supporting key business operations. This involves in supporting architecture designing and improvements ,Understanding Data integrity and Building Data Models, Designing and implementing agile, scalable, and cost efficiency solution. Lead a team of developers, implement Sprint planning and executions to ensure timely deliveries Technical Skills, Qualification and experience required:- Proficient in Data Modelling 5-10 years of experience in Data Modelling. Exp in Data modeling tools ( Tool - Erwin). building ER diagram Hands on experince into ERwin / Visio tool Hands-on Expertise in Entity Relationship, Dimensional and NOSQL Modelling Familiarity with manipulating dataset using using Python. Exposure of Azure Cloud Services (Azure DataFactory, Azure Devops and Databricks) Exposure to UML Tool like Ervin/Visio Familiarity with tools such as Azure DevOps, Jira and GitHub Analytical approaches using IE or other common Notations Strong hands-on experience on SQL Scripting Bachelors/Master's Degree in Computer Science or related field Experience leading agile scrum, sprint planning and review sessions Good communication and interpersonal skills Good communication skills to coordinate between business stakeholders & engineers Strong results-orientation and time management True team player who is comfortable working in a global team Ability to establish relationships with stakeholders quickly in order to collaborate on use cases Autonomy, curiosity and innovation capability Comfortable working in a multidisciplinary team within a fast-paced environment * Immediate Joiners will be preferred only Outstation candidate's will not be considered

Role & responsibilities Exp: 8+ years Location: Remote Skills: Data Modeler Description: At Least 2 Projects done as Data Modeler Discover, analyze, and scope data requirements ; create high level process models to represent processes for the area under analysis Analyze existing business system data, data profiling, and source analysis Create detailed mapping documents covering source to target mapping, transformation logic and harmonization Design Data Architecture, Strategy, Employ Entity-Relationship” modeling with the intent of producing a design best suited for retrospective analysis of data. Determine the right set of facts and surrounding dimensions suited to perform the desired type of analysis or queries against the data. Arrive at data solution diagrams including data flow diagrams, use case models, etc. Skilled in analyzing existing business system data, data profiling and source analysis. Expert using SQL Experts in understanding business need to translate those needs into an effective model. Expert in Entity-Relationship modeling, with specific expertise in Star/Snowflake Schema modeling. Experience implementing IBM UDMH Model - Atomic or Dimensional Model Exposure in one or more enterprise-level Modeling tools, IDA, ERWin, ER-Studio, etc Healthcare Domain Knowledge is a must; Exposure to HL7, FHIR, OMOP will be a plus Advanced understanding of data normalization and denormalization techniques. Expert in Metadata management and tools. Advanced experience in Master Data management/systems and Reference Data management/systems. Advanced experience with modeling process creation and implementation. Experts in understanding business need to translate those needs into an effective model Preferred candidate profile

Warm welcome from SP Staffing Services! Reaching out to you regarding permanent opportunity !! Job Description: Exp: 8-12 yrs Location: Chennai/Hyderabad/Bangalore/Pune/Bhubaneshwar/Kochi Skill: Senior Data Modellers Interested can share your resume to sangeetha.spstaffing@gmail.com with below inline details. Full Name as per PAN: Mobile No: Alt No/ Whatsapp No: Total Exp: Relevant Exp in Data Modelling: Rel Exp in Data Warehousing: Rel Exp in AWS: Current CTC: Expected CTC: Notice Period (Official): Notice Period (Negotiable)/Reason: Date of Birth: PAN number: Reason for Job Change: Offer in Pipeline (Current Status): Availability for virtual interview on weekdays between 10 AM- 4 PM(plz mention time): Current Res Location: Preferred Job Location: Whether educational % in 10th std, 12th std, UG is all above 50%? Do you have any gaps in between your education or Career? If having gap, please mention the duration in months/year:

Role: Data Modeler Experience: 6-9 Years Relevant Experience in Data Modeler :5+ Years Notice Period: Immediate to 15 Days Joiners Only Role & responsibilities The Data Modeller designs fit-for-purpose conceptual, logical, and physical data models in-line with business requirements to serve analytical, business intelligence, and operational use cases primarily within the data platform. Technical skills: Entity relationship, dimensional, and NOSQL modelling as appropriate to data warehousing, business intelligence, and analytical approaches using IE or other common notations. SQL, DDL, DML, and Pyspark scripting ERWIN or Visio data modelling/UML tool(Mandatory to have) Proven knowledge of physical and logical data modelling in a data warehouse environment including the successful creation of conformed dimensional models from a range of legacy source systems alongside modern SaaS/Cloud business applications Experienced at capturing technical and business metadata including being able to elicit and create sound definitions for entities and attribute. Practiced and able to query data from source or raw data and reverse engineer an underlying data model and data definitions. Experienced in writing scripts for data transformation using SQL, DDL, DML, and Pyspark. Good knowledge and exposure to software development lifecycles and good engineering practices Can demonstrate a good working knowledge of data modelling patterns and when to use them. Reach us:If you are interested in this position and meet the above qualifications, please reach out to me directly at swati@cielhr.com and share your updated resume highlighting your relevant experience.

Develop and implement logical and Physical Data models to meet business requirements Experience in Data Modeling tools Erwin/Power Designer Develop, optimize, and maintain DB tables, Schemas, Procedures etc Ensure DB performance through query optimization and indexing techniques Strong experience with Relational Databases Create and maintain documentation for data processes and architectures

Job role & responsibilities:- Understanding operational needs by collaborating with specialized teams Supporting key business operations. This involves in supporting architecture designing and improvements ,Understanding Data integrity and Building Data Models, Designing and implementing agile, scalable, and cost efficiency solution. Lead a team of developers, implement Sprint planning and executions to ensure timely deliveries Technical Skills, Qualification and experience required:- Proficient in Data Modelling 5-10 years of experience in Data Modelling. Exp in Data modeling tools ( Tool - Erwin). building ER diagram Hands on experince into ERwin / Visio tool Hands-on Expertise in Entity Relationship, Dimensional and NOSQL Modelling Familiarity with manipulating dataset using using Python. Exposure of Azure Cloud Services (Azure DataFactory, Azure Devops and Databricks) Exposure to UML Tool like Ervin/Visio Familiarity with tools such as Azure DevOps, Jira and GitHub Analytical approaches using IE or other common Notations Strong hands-on experience on SQL Scripting Bachelors/Master's Degree in Computer Science or related field Experience leading agile scrum, sprint planning and review sessions Good communication and interpersonal skills Good communication skills to coordinate between business stakeholders & engineers Strong results-orientation and time management True team player who is comfortable working in a global team Ability to establish relationships with stakeholders quickly in order to collaborate on use cases Autonomy, curiosity and innovation capability Comfortable working in a multidisciplinary team within a fast-paced environment * Immediate Joiners will be preferred only Outstation candidate's will not be considered

Dear Candidate, One of our leading IT MNC Clients is looking for Data Analyst & Data Modeler on Immediate basis. Role: Senior Data Expert (Data Analyst & Data Modeler) Exp.: 8 12 Years Location: Hyderabad / Pune Mode of Work : WFO Skill: Datamodeler, SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable). In this role, you will: Support the delivery of complex transformation program development within data portfolio. Work within agile multi-skilled teams to create world class products to serve our customers needs. Perform the elicitation and analysis of business change, functional and non-functional requirements across a range of stakeholders, work with cross asset IT teams to interface those requirements and finally deliver a working reconciliation solution. Own and produce relevant analysis and modeling artefacts that enable development teams to develop working products. Understand the "user" journey end to end which goes beyond the "system”. Provide advanced business knowledge and technical support for requirements development. Create/enhance logical and physical data models by adhering to the agreed standards, to fulfil both business as well as technical requirements and expectations. Create and maintain the data models. Undertake the metadata analysis which includes but not limited to naming of the logical entity and attributes and physical table and columns, definitions and appropriate data type and length etc. To be successful in this role, you should meet the following requirements: Strong Data Analysis and/or Data Modeling experience of 8-12 years. Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping. Should be an individual contributor with good understanding of the SDLC & Agile methodologies. A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast-paced and continuously changing environment. Excellent communication & stakeholder management skills and should be capable of building rapport and relationships. Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects. Other Skills & Tools: SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable). Comprehensive understanding of the Data Modeling (conceptual, logical, and physical), create and deliver high-quality data models, by following agreed data governance and standards. Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid. If Interested, Send CVs to anji.g@kanarystaffing.com

Job role & responsibilities:- Understanding operational needs by collaborating with specialized teams Supporting key business operations. This involves in supporting architecture designing and improvements ,Understanding Data integrity and Building Data Models, Designing and implementing agile, scalable, and cost efficiency solution. Lead a team of developers, implement Sprint planning and executions to ensure timely deliveries Technical Skills, Qualification and experience required:- Proficient in Data Modelling 4-10 years of experience in Data Modelling. Exp in Data modeling tools ( Tool - Erwin). building ER diagram Hands on experince into ERwin / Visio tool Hands-on Expertise in Entity Relationship, Dimensional and NOSQL Modelling Familiarity with manipulating dataset using using Python. Exposure of Azure Cloud Services (Azure DataFactory, Azure Devops and Databricks) Exposure to UML Tool like Ervin/Visio Familiarity with tools such as Azure DevOps, Jira and GitHub Analytical approaches using IE or other common Notations Strong hands-on experience on SQL Scripting Bachelors/Master's Degree in Computer Science or related field Experience leading agile scrum, sprint planning and review sessions Good communication and interpersonal skills Good communication skills to coordinate between business stakeholders & engineers Strong results-orientation and time management True team player who is comfortable working in a global team Ability to establish relationships with stakeholders quickly in order to collaborate on use cases Autonomy, curiosity and innovation capability Comfortable working in a multidisciplinary team within a fast-paced environment * Immediate Joiners will be preferred only

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 platforms "KASHIF@D2NSOLUTIONS.COM"

Experience: Min 5+ years overall experience as a SmartCOMM Developer Professional Skills: Designing and Developing Applications using the SmartCOMM Modules ATD (Advance Template Designer) & Data Modeler Experience in developing programs using Javascript language Excellent knowledge of Relational Databases (SQL Server or Oracle database) Good hands-on experience with XML/Jason Technical Skills: SmartCOMM Modules ATD (Advance Template Designer) & Data Modeler Core JAVA, HTML, CSS & Java scripting XML, XSD / Jason SQL-Server / Oracle database

Strong understanding of SQL and dimensional data modeling concepts. Experience in Payer Domain Data Models Proficiency in data modeling tools Experience in designing and implementing database structures. Experience in migration of DW from legacy to Snowflake Ability to create and maintain conceptual, logical, and physical data models.

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 8 - 15 Yrs Location: Pan India Job Description: Minimum Two years experience in Boomi Data modeling Interested can share your resume to sankarspstaffings@gmail.com with below inline details. Over All Exp : Relevant Exp : Current CTC : Expected CTC : Notice Period :

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level 5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 8 - 24 Yrs Location- Pan India Job Description : - The Data Modeler will be responsible for the design, development, and maintenance of data models and standards for Enterprise data platforms. Build dimensional data models applying best practices and providing business insights. Build data warehouse & data marts (on Cloud) while performing data profiling and quality analysis. Identify business needs and translate business requirements to Conceptual, Logical, Physical and semantic, multi-dimensional (star, snowflake), normalized/denormalized, Data Vault2.0 model for the project. Knowledge of snowflake and dbt is added advantage. Create and maintain the Source to Target Data Mapping document for this project. Includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc. Develop best practices for standard naming conventions and coding practices to ensure consistency of data models. Gather and Publish Data Dictionaries: Maintain data models and capture data models from existing databases and record descriptive information. Work with the Development team to implement data strategies, build data flows and develop conceptual data models. Create logical and physical data models using best practices to ensure high data quality and reduced redundancy. Optimize and update logical and physical data models to support new and existing projects. Data profiling, business domain modeling, logical data modeling, physical dimensional data modeling and design. Data design and performance optimization for large Data Warehouse solutions. understanding data - profile and analysis (metadata (formats, definitions, valid values, boundaries), relationship/usage) Create relational and dimensional structures for large (multi-terabyte) operational, analytical, warehouse and BI systems. Should be good in verbal and written communication. If interested please forward your updated resume to sankarspstaffings@gmail.com / Sankar@spstaffing.in With Regards, Sankar G Sr. Executive - IT Recruitment

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level 5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 8 - 24 Yrs Location- Pan India Job Description : - The Data Modeler will be responsible for the design, development, and maintenance of data models and standards for Enterprise data platforms. Build dimensional data models applying best practices and providing business insights. Build data warehouse & data marts (on Cloud) while performing data profiling and quality analysis. Identify business needs and translate business requirements to Conceptual, Logical, Physical and semantic, multi-dimensional (star, snowflake), normalized/denormalized, Data Vault2.0 model for the project. Knowledge of snowflake and dbt is added advantage. Create and maintain the Source to Target Data Mapping document for this project. Includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc. Develop best practices for standard naming conventions and coding practices to ensure consistency of data models. Gather and Publish Data Dictionaries: Maintain data models and capture data models from existing databases and record descriptive information. Work with the Development team to implement data strategies, build data flows and develop conceptual data models. Create logical and physical data models using best practices to ensure high data quality and reduced redundancy. Optimize and update logical and physical data models to support new and existing projects. Data profiling, business domain modeling, logical data modeling, physical dimensional data modeling and design. Data design and performance optimization for large Data Warehouse solutions. understanding data - profile and analysis (metadata (formats, definitions, valid values, boundaries), relationship/usage) Create relational and dimensional structures for large (multi-terabyte) operational, analytical, warehouse and BI systems. Should be good in verbal and written communication. If interested please forward your updated resume to sankarspstaffings@gmail.com / Sankar@spstaffing.in With Regards, Sankar G Sr. Executive - IT Recruitment

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level 5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 8 - 24 Yrs Location- Pan India Job Description : - The Data Modeler will be responsible for the design, development, and maintenance of data models and standards for Enterprise data platforms. Build dimensional data models applying best practices and providing business insights. Build data warehouse & data marts (on Cloud) while performing data profiling and quality analysis. Identify business needs and translate business requirements to Conceptual, Logical, Physical and semantic, multi-dimensional (star, snowflake), normalized/denormalized, Data Vault2.0 model for the project. Knowledge of snowflake and dbt is added advantage. Create and maintain the Source to Target Data Mapping document for this project. Includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc. Develop best practices for standard naming conventions and coding practices to ensure consistency of data models. Gather and Publish Data Dictionaries: Maintain data models and capture data models from existing databases and record descriptive information. Work with the Development team to implement data strategies, build data flows and develop conceptual data models. Create logical and physical data models using best practices to ensure high data quality and reduced redundancy. Optimize and update logical and physical data models to support new and existing projects. Data profiling, business domain modeling, logical data modeling, physical dimensional data modeling and design. Data design and performance optimization for large Data Warehouse solutions. understanding data - profile and analysis (metadata (formats, definitions, valid values, boundaries), relationship/usage) Create relational and dimensional structures for large (multi-terabyte) operational, analytical, warehouse and BI systems. Should be good in verbal and written communication. If interested please forward your updated resume to sankarspstaffings@gmail.com / Sankar@spstaffing.in With Regards, Sankar G Sr. Executive - IT Recruitment

Job Title: Databricks Data Modeler Job Summary We are looking for a Data Modeler to design and optimize data models supporting automotive industry analytics and reporting. The ideal candidate will work with SAP ECC as a primary data source, leveraging Databricks and Azure Cloud to design scalable and efficient data architectures. This role involves developing logical and physical data models, ensuring data consistency, and collaborating with data engineers, business analysts, and domain experts to enable high-quality analytics solutions. Key Responsibilities 1. Data Modeling & Architecture: Design and maintain conceptual, logical, and physical data models for structured and unstructured data. 2. SAP ECC Data Integration: Define data structures for extracting, transforming, and integrating SAP ECC data into Azure Databricks. 3. Automotive Domain Modeling: Develop and optimize industry-specific data models covering customer, vehicle, material, and location data. 4. Databricks & Delta Lake Optimization: Design efficient data models for Delta Lake storage and Databricks processing. 5. Performance Tuning: Optimize data structures, indexing, and partitioning strategies for performance and scalability. 6. Metadata & Data Governance: Implement data standards, data lineage tracking, and governance frameworks to maintain data integrity and compliance. 7. Collaboration: Work closely with business stakeholders, data engineers, and data analysts to align models with business needs. 8. Documentation: Create and maintain data dictionaries, entity-relationship diagrams (ERDs), and transformation logic documentation. Skills & Qualifications 1. Data Modeling Expertise: Strong experience in dimensional modeling, 3NF, and hybrid modeling approaches. 2. Automotive Industry Knowledge: Understanding of customer, vehicle, material, and dealership data models. 3. SAP ECC Data Structures: Hands-on experience with SAP ECC tables, business objects, and extraction processes. 4. Azure & Databricks Proficiency: Experience working with Azure Data Lake, Databricks, and Delta Lake for large-scale data processing. 5. SQL & Database Management: Strong skills in SQL, T-SQL, or PL/SQL, with a focus on query optimization and indexing. 6. ETL & Data Integration: Experience collaborating with data engineering teams on data transformation and ingestion processes. 7. Data Governance & Quality: Understanding of data governance principles, lineage tracking, and master data management (MDM). 8. Strong Documentation Skills: Ability to create ER diagrams, data dictionaries, and transformation rules. Preferred Qualifications 1. Experience with data modeling tools such as Erwin, Lucidchart, or DBT. 2. Knowledge of Databricks Unity Catalog and Azure Synapse Analytics. 3. Familiarity with Kafka/Event Hub for real-time data streaming. 4. Exposure to Power BI/Tableau for data visualization and reporting.