Senior Data Engineer (Data Platform)

Responsibilities

• Own data pipelines end to end: design, build, run, monitor, and troubleshoot.
• Build and maintain Apache Airflow workflows.
• Develop dbt models in Redshift, including incremental strategies and data quality tests.
• Design and build lake-layer pipelines.
• Manage cloud infrastructure and configuration.
• Maintain CI/CD pipelines with secure cloud authentication.
• Investigate and resolve production incidents using monitoring and alerting effectively.
• Follow the typical new source flow end to end.

Requirements

• 5+ years of data engineering or related experience.
• Excellent knowledge of SQL and understanding of data warehouse concepts.
• Hands‑on experience in Redshift (or similar).
• Hands‑on experience with ELT/ETL flows using dbt and Apache Airflow.
• Solid AWS experience across object storage, containers, managed ETL, and related analytics services.
• Experience with Git, CI/CD, and Docker.
• Proven ability to own projects from requirements gathering through production monitoring.
• Strong operational mindset to troubleshoot systematically.
• Ability to work independently while collaborating well with analytics and platform stakeholders.