Data Engineer (DBT)

Roles & Responsibilities

• Design and implement staging, core, and mart layers using standard dbt patterns and folder structures.
• Develop and maintain dbt tests (schema tests, data tests, custom tests) to ensure data quality and integrity.
• Implement snapshots, seeds, macros, and reusable components where appropriate.
• Collaborate with Snowflake developers to ensure physical data structures support dbt models efficiently.
• Work with functional teams to ensure functional equivalence between legacy Informatica outputs and new dbt outputs.
• Participate in performance tuning of dbt models and Snowflake queries.
• Integrate dbt with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for automated runs and validations.
• Contribute to documentation of dbt models, data lineage, and business rules.
• Participate in defect analysis, bug fixes, and enhancements during migration and stabilization phases.

Experience :

• 5+ years in modern ELT / transformation engineering, with strong expertise in DBT-based development for curated enterprise data layers.
• Experience defining DBT project standards, modular model design, testing frameworks, documentation, macros, environment strategy, and deployment controls.
• Proven ability to lead development of conformed Silver layer models across Policy, Claims, Billing, and shared dimensions / reference domains.
• Strong experience integrating DBT with Databricks / Delta Lake, orchestration tools, version control, and automated quality checks.
• Able to guide developer productivity, code review standards, reusability, performance tuning, and traceability from mapping to model implementation.