Senior Data Engineer

Job Title:Senior Data Engineer
Location: Remote

Key Responsibilities

• Migrate and Refactor Data Models: Convert and optimize dbt models from Redshift and Snowflake to Trino (Iceberg), ensuring compatibility and performance.
• SQL Syntax Conversion: Fix SQL syntax differences between Redshift, Snowflake, and Trino.
• Data Modeling: Refactor and optimize data models to align with modern best practices for Iceberg.
• BI Integration: Work with Tableau assets to ensure data sources align with the new infrastructure.
• Collaboration: Partner with engineering and analytics teams to validate and test migration impacts.
• Version Control: Use Git to version control dbt models and ensure seamless deployments.
• Daily Standups: Participate in agile workflows to prioritize and execute migration tasks efficiently.

What Were Looking For

Must-Have Qualifications

• Education: Bachelors degree in Computer Science, Information Systems, Mathematics, or a related field (or equivalent experience).
• Experience:
  • 3+ years in data engineering, BI, or analytics.
  • 2+ years in financial services or SaaS.
  • Hands-on experience with dbt (Data Build Tool) and modern data modeling practices.
• Technical Skills:
  • Strong proficiency in SQL (Redshift, Snowflake, Trino/Iceberg).
  • Experience with BI tools like Tableau.
  • Familiarity with Git for version control.
  • Knowledge of Jinja templating and macros in dbt.
• Soft Skills:
  • Strong communication skills to guide teams through infrastructure changes.
  • Pragmatic approach to balancing speed and accuracy in data solutions.

Nice-to-Have Qualifications

• Experience working in startup environments.
• Familiarity with agile methodologies.