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Job Title: Data Modeler
Role Summary:
We are seeking a skilled Data Modeler to design, develop, and maintain enterprise data models that support business intelligence, analytics, and application development initiatives. The role involves working closely with business stakeholders, data architects, and engineering teams to translate business requirements into logical, physical, and conceptual data models, ensuring data integrity, scalability, and alignment with enterprise standards.
Key Responsibilities:
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Design and implement conceptual, logical, and physical data models to support business and technical requirements.
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Collaborate with data architects, analysts, and engineers to ensure accurate translation of business needs into data solutions.
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Maintain data dictionaries, metadata, and documentation for consistency and reusability across the organization.
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Optimize data models for performance, scalability, and integration with existing systems.
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Ensure compliance with data governance, security, and quality standards.
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Support ETL and data integration processes by providing modeling inputs.
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Work on relational, dimensional, and NoSQL data modeling depending on project needs.
Required Skills & Experience:
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Strong experience in data modeling concepts (conceptual, logical, physical, dimensional, OLTP & OLAP).
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Proficiency in modeling tools such as ERwin, ER/Studio, PowerDesigner, or similar.
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Solid knowledge of RDBMS (Oracle, SQL Server, DB2, PostgreSQL, etc.) and familiarity with NoSQL databases.
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Good understanding of data warehousing, ETL processes, and BI tools.
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Hands-on experience with SQL and performance tuning.
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Strong analytical, problem-solving, and communication skills.
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Experience working in BFSI or enterprise-scale environments is a plus.
Preferred:
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Exposure to cloud platforms (AWS, Azure, GCP) and their data services.
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Knowledge of Big Data platforms (Hadoop, Spark, Snowflake, Databricks).
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Familiarity with data governance and data catalog tools.
