DBT/Snowflake Engineer

Roles & Responsibilities
• Translate Informatica mappings, transformations, and business rules into dbt models (SQL) on Snowflake.
• 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 & Skills
• 7+ years of experience in Data Engineering / ETL / DW, with 2+ years working with dbt (Core or Cloud).
• Strong SQL skills, especially on Snowflake or another modern cloud DW.
• Experience with dbt concepts: models, tests, sources, seeds, snapshots, macros, exposures.
• Prior experience with Informatica (developer-level understanding of mappings/workflows) is highly desirable.
• Understanding of CI/CD practices and integrating dbt into automated pipelines.
• Knowledge of data modeling (dimensional models, SCDs, fact/dimension design).
• Experience working in offshore delivery with onshore coordination.
• Good communication skills and ability to read/understand existing ETL logic and requirements documentation.