Description

You will own data engineering solutions across the lifecycle, from ingestion to advanced analytics.

This role is remote.

Responsibilities

• Design and build ELT/ETL data pipelines for complex data challenges.
• Translate high-level business requirements into actionable technical data engineering tasks.
• Manage and deploy code using source control and CI/CD practices.
• Develop solutions leveraging generative AI models and concepts.

Required Skills

• 7+ years of data engineering experience across Dev, QA, and Production environments.
• 5+ years of proven experience with SQL and Python.
• 3+ years designing and building relational databases (Snowflake, PostgreSQL).
• 3+ years managing and deploying code with Git-based platforms.
• 2+ years experience with job scheduling and orchestration tools (Airflow).
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with Knowledge Graphs, Data Mesh, and data-sharing platforms.

Preferred Skills

• Bachelor's degree in Computer Science, Mathematics, or Software Engineering, or equivalent practical experience.

Key Skills

Education

Bachelor's degree