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. Job Segment: Database, SQL, Technology