Data Engineer

We are looking for an execution-focused Data Engineer to build and maintain modular data pipelines. You will use Snowflake and dbt to transform raw data into scalable, analytics-ready assets, working under the guidance of our Lead Data Architect within an agile data engineering pod to support the BI team.

Key Responsibilities

• Pipeline Development: Build and maintain modular ELT pipelines using Snowflake and dbt across staging, intermediate, and mart layers.
• Model Implementation: Translate architectural blueprints into physical Snowflake tables and views using clean dbt SQL logic.
• Code Execution: Write clean, modular, and standards-compliant SQL and dbt code following established team guidelines.
• Data Quality: Implement automated dbt data tests, schema validations, and maintain documentation.
• Git Workflow: Participate in code reviews (PRs) and CI/CD deployment workflows.

Qualifications

• 3–5 years of hands-on data engineering experience.
• Deep expertise in Snowflake (Warehouse configurations, Time Travel, Tasks/Streams).
• Strong dbt proficiency (Macros, incremental models, packages).
• Advanced SQL skills (Query profiling, complex window functions, analytical queries).
• Strong Git skills and experience with structured PR workflows.
  • Snowflake or dbt certifications are a major plus.