Data Modeller
HCLTech
Job Description
Job Description
We are looking for Data Modeller for HCL Tech
\n\nKey skill: Data Modelling, Sql, Any cloud exposure. Erwin
\nExperience: 8-12 years of experience
\nLocation: Bangalore
\nNotice Period: 0-30 Days
\n\nKey Responsibilities
\n⢠Assist with Schema Design: Help build, update, and maintain logical and physical data models. Any domain.
\n⢠Translate Legacy Logic: Analyze existing legacy SQL queries and help map them into clean, structured dimensional models in the cloud
\n. ⢠Support the Canonical & Semantic Layers: Collaborate with Analytics Engineers to document and define columns, keys, and metrics within the shared transformation layer.
\n⢠Maintain Data Contracts: Update YAML or schema files to ensure data products include required metadata, such as ownership, schema definitions, and automated test rules.
\n⢠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.
\n⢠Apply DQ Checks: Integrate standard data quality tests (e.g., null checks, unique constraints, and data type validations) directly into the model definitions.
\n\nRequired Skills & Experience
\n⢠Core Data Modelling: 2ā5 years of experience in data modelling, with a solid understanding of relational databases and Kimball dimensional modelling (Stars and Snowflakes)
\n. ⢠Strong SQL: Advanced SQL skills with the ability to read, optimize, and reverse engineer complex legacy queries.
\n⢠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.
\n⢠Financial Services Exposure: Prior experience in banking, wealth management, or financial services is highly desirable.
\n⢠Tooling Familiarity: Experience using data modelling tools (e.g., Erwin, Hackolade, or dbt) and version control systems (Git).
\n\n\nInterested candidates please share your resume to [email protected] along with below details
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