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Dbt/snowflake engineer

India, Bangalore · Job Posted June 28, 2026
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Job Description

We are seeking an experienced DBT/Snowflake Engineer to be part of a large-scale Data Modernization Program

Job Responsibility

  • 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

Requirements

  • 7+ years of experience in Data Engineering / ETL / DW, with 1–3+ 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

Nice to have

Prior experience with Informatica (developer-level understanding of mappings/workflows) is highly desirable

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  • Collaborate with Snowflake developers to ensure physical data structures support dbt models efficiently
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