02 Oct
|
HCLTech
|
Bengaluru
Job DescriptionWe 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 n Key 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 n Required Skills & Experience
N - 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)
N. - Strong SQL: Advanced SQL skills with the ability to read, optimize, and reverse engineer complex legacy queries.
N - Up-to-date 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 sh
📌 Hiring: Data Modeller (Bengaluru)
🏢 HCLTech
📍 Bengaluru