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Mid-level Pune role; niche modeling skills reduce candidate density despite common mid-level demand.
Technical data modeling skills are broadly transferable, though enterprise domain knowledge increases fit.
Explicit 5+ years plus mandatory LDM/PDM, SQL, cloud warehouse and tooling experience.
Design, develop, and maintain enterprise-wide Logical and Physical Data Models across multiple core business domains to enable reporting, analytics, and operational applications.
Translate complex cross-domain business requirements into standardized, scalable data structures, ensuring alignment with business reality and optimized database performance.
Collaborate closely with Domain Architects, Data Engineers, and Data Stewards to enforce data modeling standards, support ETL/ELT pipeline design, and produce comprehensive data documentation including ERDs and data dictionaries.
5+ years hands-on experience in Logical and Physical Data Modeling across multiple business domains.
Strong proficiency in SQL for data profiling, data mapping, and schema validation.
Experience with cloud data warehouses such as GCP BigQuery, Snowflake, or Databricks.
Proficiency with enterprise data modeling tools like Erwin, PowerDesigner, SqlDBM, or similar.
Experienced in diverse data modeling paradigms including Relational (3NF), Dimensional (Star/Snowflake), and Denormalization techniques.
Capable of partnering effectively across data governance, engineering, and business teams to ensure data model consistency and performance.
Familiar with data warehousing principles, ETL/ELT architecture, and able to optimize physical schemas for cloud environments.