remote
Enterprise Data Engineer
Data Engineer
Senior Enterprise Data Engineer driving large‑scale data migration and warehousing projects using advanced SQL, Python, and cloud platforms to deliver high‑quality analytics solutions.
About the role
Key Responsibilities
- Design, develop, and optimize complex SQL queries and data pipelines for Snowflake and SQL Server environments.
- Write robust Python scripts to automate data extraction, transformation, and loading (ETL) processes.
- Lead data migration initiatives, ensuring data integrity, performance, and minimal downtime.
- Collaborate with analytics and AI teams to integrate machine‑learning models into data workflows.
- Maintain and enhance cloud‑based data platforms, ensuring scalability, security, and compliance.
Requirements
- 5+ years of experience in data engineering, with deep expertise in SQL and Python.
- Proven track record of large‑scale data migration and warehousing projects.
- Hands‑on experience with Snowflake, SQL Server, and cloud services (AWS, Azure, or GCP).
- Strong analytical skills and ability to troubleshoot complex data issues.
- Excellent communication and collaboration skills in a cross‑functional team environment.