We are looking for Data Modeller for HCL Tech Key skill: Data Modelling, Sql, Any cloud exposure. Erwin Experience: 8-12 years of experience Location: Bangalore Notice Period: 0-30 Days Key Responsibilities • Assist with Schema Design: Help build, update, and maintain logical and physical data models. Any domain. • Translate Legacy Logic: Analyze existing legacy SQL queries and help map them into clean, structured dimensional models in the cloud . • Support the Canonical & Semantic Layers: Collaborate with Analytics Engineers to document and define columns, keys, and metrics within the shared transformation layer. • Maintain Data Contracts: Update YAML or schema files to ensure data products include required metadata, such as ownership, schema definitions, and automated test rules. • Document Lineage & Catalogue: Map end-to-end data lineage from source systems to final dashboards, and ensure all entries are kept up-to-date in the data product catalogue. • Apply DQ Checks: Integrate standard data quality tests (e.g., null checks, unique constraints, and data type validations)
directly into the model definitions. Required Skills & Experience • Core Data Modelling: 2–5 years of experience in data modelling, with a solid understanding of relational databases and Kimball dimensional modelling (Stars and Snowflakes) . • Solid SQL: Advanced SQL skills with the ability to read, optimize, and reverse engineer complex legacy queries. • Modern Cloud Exposure: Hands-on experience or strong working knowledge of cloud platforms like Snowflake or AWS S3/Lakehouses. Knowledge of Apache Iceberg is a strong plus. • Financial Services Exposure: Prior experience in banking, wealth management, or financial services is highly desirable. • Tooling Familiarity: Experience using data modelling tools (e.g., Erwin, Hackolade, or dbt) and version control systems (Git). Interested candidates please share your resume to along with below details Total Experience: Relevant Experience: Notice Period: Current CTC: Expected CTC:
📌 Data Modeller (India)
🏢 HCLTech
📍 India