Data Engineer Sr (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 :  • 10+ 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.