A Snowflake dbt Data Engineer or Developer is responsible for building and maintaining the "transformation" layer of a up-to-date data stack. This role bridges the gap between raw data storage in Snowflake and actionable insights for business users by leveraging dbt (Data Build Tool) to write modular, version-controlled SQL transformations.

Core Responsibilities

- Data Transformation Pipelines: Design and implement end-to-end ELT (Extract, Load, Transform) pipelines within Snowflake using dbt.

- Data Modeling: Build scalable data models using frameworks like Star Schema, Snowflake Schema, or Medallion Architecture (staging, intermediate, and mart layers).

- Performance Optimization: Tune Snowflake performance through warehouse sizing, clustering, and materialization strategies.

- Quality & Testing: Implement automated data quality tests (e.g., uniqueness, non-null, referential integrity) and generate documentation using dbt docs.

- DevOps & CI/CD: Manage code versioning via Git and automate deployments using CI/CD pipelines (e.g., GitHub Actions, Azure DevOps).

- Orchestration: Schedule and monitor data workflows using tools like Airflow, Dagster

📌 Snowflake-DBT (Bengaluru)
🏢 TalentOla
📍 Bengaluru