implementing scalable Snowflake data pipeline, enabling efficient ingestion and transformation workflows, and supporting migration from legacy ETL systems to dbt-driven ELT architectures. The role contributes to improving data accessibility, performance, and consistency across enterprise analytics environment.

Location: Pune/ Nagpur/ Chennai/ Bangalore

Type of Employment: Full-time

Key Result Areas and Activities:

Snowflake Pipeline Development & Implementation - Develop and maintain Snowflake-native data pipeline including schemas, stages, steams, task, and warehouse configuration supporting ETL workloads.
Code conversion, refinement and optimization – Convert SSIS transformations into dbt staging/intermediate/mart models, review and validate tool converted dbt transformations to ensure accuracy maintainability alignment with enterprise modelling standards.
Data Modelling & Warehousing Structuring - Implement dimensional models and optimised storage structure aligned with enterprise reporting and analytical requirements.
Migration Documentation & Lineage Support - Maintain transformation documentation, mapping logic, testing evidence, and lineage metadata to support governance and audit readiness.
Cross-Team Collaboration & Delivery Support - Work closely with Cross functional teams and client stakeholders to resolve transformation discrepancies and ensure timely migration delivery

Data Engineer- Snowflake (DBT)