Data Modeler

Location: Pune

Work Mode: 5 days of work from the office.

Send resumes to: mounika-d@hcl-software.com with below details:

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Exp:

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Role Context:

Own conceptual/logical/physical modelling for key domains, ensuring semantics, integrity, and performance. Enables consistent ETL implementation and supports analytics and ML-friendly structures.

Key Responsibilities:

• Create and maintain conceptual, logical, and physical data models.
• Define canonical structures, keys, grain, relationships, reference/master data conventions.
• Ensure time semantics are explicitly modelled (event_time vs process_time, snapshot dates).
• Provide model-driven guidance to ETL teams and validate transformation logic alignment.
• Maintain data dictionary, naming standards, domain glossary, and change impact analysis.
• Ensure models support analytics reporting and ML feature derivation (events, snapshots, aggregates).

Must Have

• 812 years in data modelling / data architecture with strong delivery alignment.
• Expertise in 3NF and dimensional modelling; canonical modelling experience preferred.
• Strong SQL profiling and validation capability.
• Cloud warehouse modelling experience (Snowflake/BigQuery/Redshift/Synapse).
• Strong understanding of SCD, temporal modelling, surrogate keys, and conformed dimensions.
• Non-technical: stakeholder communication, documentation quality, conflict resolution on definitions.

Good To Have

• Exposure to Data Vault 2.0 modelling.
• Experience modelling customer/marketing/event-driven domains.
• Familiarity with feature-store-friendly modelling patterns.