⚔ New

Data Modeller

HCLTech

BengaluruFull-timeMid LevelOn-site

Job Description

Job Description

We are looking for Data Modeller for HCL Tech

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Key skill: Data Modelling, Sql, Any cloud exposure. Erwin

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Experience: 8-12 years of experience

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Location: Bangalore

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Notice Period: 0-30 Days

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Key Responsibilities

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• Assist with Schema Design: Help build, update, and maintain logical and physical data models. Any domain.

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• Translate Legacy Logic: Analyze existing legacy SQL queries and help map them into clean, structured dimensional models in the cloud

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. • Support the Canonical & Semantic Layers: Collaborate with Analytics Engineers to document and define columns, keys, and metrics within the shared transformation layer.

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• Maintain Data Contracts: Update YAML or schema files to ensure data products include required metadata, such as ownership, schema definitions, and automated test rules.

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• 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.

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• Apply DQ Checks: Integrate standard data quality tests (e.g., null checks, unique constraints, and data type validations) directly into the model definitions.

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Required Skills & Experience

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• 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)

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. • Strong SQL: Advanced SQL skills with the ability to read, optimize, and reverse engineer complex legacy queries.

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• 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.

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• Financial Services Exposure: Prior experience in banking, wealth management, or financial services is highly desirable.

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• Tooling Familiarity: Experience using data modelling tools (e.g., Erwin, Hackolade, or dbt) and version control systems (Git).

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Interested candidates please share your resume to [email protected] along with below details

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Total Experience:

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Relevant Experience:

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Notice Period:

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Current CTC:

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Expected CTC:

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