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.