onsite
Data Engineer - Anson Mccade
Data Engineer
Data Engineer role focused on designing, building, and maintaining scalable data pipelines using Python, SQL, and cloud services, with an emphasis on ETL processes and workflow orchestration.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines to ingest, transform, and load data from multiple sources.
- Implement and manage workflow orchestration using tools such as Apache Airflow.
- Collaborate with data analysts and scientists to ensure data quality, availability, and performance.
- Optimize SQL queries and data models for efficient storage and retrieval in cloud data warehouses.
- Monitor, troubleshoot, and resolve data pipeline issues in a production environment.
Requirements
- 2–4 years of professional experience as a Data Engineer.
- Proficiency in Python and SQL for data manipulation and scripting.
- Hands‑on experience building ETL processes and using orchestration tools (e.g., Airflow).
- Familiarity with cloud platforms such as AWS (S3, Redshift, Glue) or equivalent.
- Strong problem‑solving skills and ability to work collaboratively in an agile team.
Skills
pythonsqlairflowaws