remote
Data Engineer Remote - UST
Data Engineer
Remote Data Engineer role focused on designing, building, and maintaining scalable data pipelines using Python, SQL, and cloud services to support a global client’s analytics platform.
About the role
Key Responsibilities
- Design, develop, and optimize end‑to‑end data pipelines for ingestion, transformation, and storage.
- Implement ETL processes using Python and SQL, ensuring data quality and reliability.
- Deploy and manage data workflows on cloud platforms (AWS) with orchestration tools such as Airflow.
- Collaborate with data scientists, analysts, and client stakeholders to understand requirements and deliver actionable data solutions.
- Monitor performance, troubleshoot issues, and continuously improve pipeline efficiency and scalability.
Requirements
- Strong proficiency in Python programming and advanced SQL querying.
- Hands‑on experience building and maintaining ETL pipelines in a cloud environment, preferably AWS.
- Familiarity with workflow orchestration tools like Apache Airflow.
- Understanding of data modeling, warehousing concepts, and best practices for data quality.
- Excellent problem‑solving skills and ability to work collaboratively in a remote, multi‑disciplinary team.
Skills
pythonsqlawsairflow