Data Engineer With Python, ETL Azure Only W2

Summary: The Data Engineer role focuses on leveraging Python for ETL processes and automation, with a strong emphasis on SQL and data architecture. Candidates should have substantial experience in data engineering, particularly with performance tuning and CI/CD pipelines. The position is remote and classified as outside IR35.

Key Responsibilities:

• Develop and maintain data engineering solutions using Python for ETL and automation.
• Write and optimize SQL queries and stored procedures for performance tuning.
• Implement CI/CD pipelines using tools like GitHub Actions and Azure DevOps.
• Collaborate with cross-functional teams to design data architecture.

Key Skills:

• 5 years of experience in data engineering and/or data architecture.
• 2 years hands-on experience with SQL queries, stored procedures, and performance tuning (preferable Oracle, SQL Server, MySQL).
• 2 years of experience with Python for ETL and automation (pandas, requests, API integration).
• Familiarity with CI/CD pipelines (GitHub Actions, Azure DevOps, etc.).

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT