onsite
Data Engineer - CodeCamp N GmbH
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 maintain robust ETL pipelines to ingest, transform, and load data from diverse sources into data warehouses and lakes.
- Implement data models and schemas that support business intelligence, reporting, and advanced analytics.
- Optimize query performance and ensure data quality, consistency, and reliability across all environments.
- Collaborate with data scientists, analysts, and product teams to understand data needs and deliver actionable insights.
- Monitor and troubleshoot data workflows, applying best practices for scalability, security, and cost efficiency.
Requirements
- Proven experience with Python, SQL, and AWS services (Redshift, S3, Glue, Athena).
- Strong background in data modeling, ETL design, and big‑data technologies.
- Hands‑on knowledge of data pipeline orchestration tools (Airflow, Prefect, or similar).
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
- Experience with version control (Git) and CI/CD practices for data workflows is a plus.