16 Data Modeler Jobs

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

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.

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 6-8 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

Atleast 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. Location - Remote, Kolkatta, Delhi, NCR, Ahmedabd, Mumbai,Pune,Noida.

Atleast 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 Location-Chennai,Hyderabad,Bengaluru,Noida,Gurugram,Pune,Ahmedabad,Mumbai,Remote, Delhi, NCR, Kolkatta, WFH, "work from home"

Job Description (Senior) Data Modeler The data modeler designs, implements, and documents data architectures and data models for solutions, which include the use of application, relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, operations, machine learning, data science, and other business interests. The successful candidate will: 1. Be responsible for the development of the conceptual, logical, and physical data models, oversight of the implementation of RDBMS, operational data stores (ODS), application databases, data marts, and data lakes on target platforms (SQL/NoSQL/cloud/on-prem). 2. 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 (application, relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, operations 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 modelling 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 visualisations. Hands-on modelling, 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. Skills Strong communication skill, good oral English 3+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). Experience on MongoDB would be an advantage. Good knowledge of metadata management, data modelling, and related tools (Erwin or Visual Paradigm or others) required. Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-centre contexts is desired. Experience in team management, communication, and presentation.

Role - Data Modeler Exp - 8+yrs Location - Open Work Mode - Hybrid Job Description - Department: - The regulatory compliance and tax reporting team build complex IT systems which ensure that HSBC remains compliant with regulations from thousands of regulators around the globe. The team is dynamic, agile, fast paced and at the forefront of adopting next generation technologies like Cloud, APIs, Artificial Intelligence and Machine Learning, Generative AI, IDP, Kubernetes, RPA etc. In this role, you will: • 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 • Oversee and govern the expansion of an existing data architecture and the optimization of data query performance using best practices • 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, AI/ML models and data visualization • Engage in hands-on modelling, design, configuration, installation, performance tuning, and sandbox POCs • Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks To be successful in this role, you should meet the following requirements: • Should be capable of developing/configuring data pipelines in a variety of platforms and technologies • Can demonstrate strong experience in writing complex SQL queries to perform data analysis on Databases SQL server, Oracle, HIVE etc. • Possess the following technical skills SQL, Python, Pyspark, Hive, ETL, Unix, Control-M (or similar scheduling tools) • Experience with GCP (particularly Airflow, Dataproc, Big Query) is an advantage • Have experience with creating solutions which power AI/ML models and generative AI • Ability to work independently on specialized assignments within the context of project deliverables • Take ownership of providing solutions and tools that iteratively increase engineering efficiencies • Be capable of creating designs which help embed standard processes, systems and operational models into the BAU approach for end-to-end execution of data pipelines • Be able to demonstrate problem solving and analytical abilities including the ability to critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details and apply sound business and technical domain knowledge • Communicate openly and honestly using sophisticated oral, written and visual communication and presentation skills - the ability to communicate efficiently at a global level is paramount • Ability to deliver materials of the highest quality to management against tight deadlines • Ability to work effectively under pressure with competing and rapidly changing priorities

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"

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

ROLES & RESPONSIBILITIES Focuses primarily on the design and maintenance of conceptual and logical data models NF and their application within IT project and business data governance processes. Defines data modelling standards and applies within all work products. Owns and develops artefacts that exploit data models to understand data and data integrations. This may include modelling data flows, developing CRUD matrices to understand master data and the use of process models to illustrate master data flows. Work with multiple IT roles, including Data Analysts, Solution Architects and Information Architects, to embed the use of data models and within both project and strategic activities. Work with business data governance teams to embed the use of data models, and associated definitions, within governance processes. Work closely with multiple roles to build expert level knowledge of business data and apply in the creation of data models and supporting artefacts describing AZ R and D data and data flows. Locate and define new process improvement opportunities. Experience of developing and applying conceptual and logical data models NF. Experience of using at least one data modelling tool ideally ER Studio or Erwin. Knowledge of both SQL and NoSQL databases. Understanding of fundamental design principles behind a scalable application and data design. Strong Exposure to IT Project Lifecycle. Life Science Domain experience. Ability to interpret and communicate technical information into business language.

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 :