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Data Engineer - Aermor
Data Engineer
Data Engineer responsible for designing, building, and maintaining scalable data pipelines and infrastructure using Python, SQL, and AWS services to support analytics and machine learning initiatives.
About the role
Key Responsibilities
- Design, develop, and optimize ETL pipelines to ingest, transform, and load large volumes of structured and unstructured data.
- Build and maintain data warehouses and lakehouse architectures on AWS (Redshift, S3, Glue).
- Collaborate with data scientists and analysts to ensure data quality, consistency, and accessibility.
- Implement data governance, security, and compliance best practices across the data ecosystem.
- Monitor pipeline performance, troubleshoot issues, and continuously improve data processing efficiency.
Requirements
- Proven experience with Python, SQL, and data pipeline frameworks (Airflow, dbt).
- Hands‑on knowledge of AWS data services (Redshift, S3, Glue, Athena).
- Strong understanding of data modeling, schema design, and performance tuning.
- Experience with version control (Git) and CI/CD for data workflows.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.