onsite
Data Engineer - Peak One GmbH
Data Engineer
Build and maintain scalable data pipelines using Python, SQL, and AWS services, ensuring high data quality and performance for 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.
- Implement data models and schemas in relational and NoSQL databases, ensuring data integrity and accessibility.
- Leverage AWS services (S3, Redshift, Glue, EMR) to build scalable, cost‑efficient data architectures.
- Collaborate with data scientists and analysts to provide clean, well‑documented datasets for modeling and reporting.
- Monitor pipeline performance, troubleshoot issues, and implement automated alerts and logging.
Requirements
- Proven experience with Python, SQL, and data engineering tools.
- Hands‑on knowledge of AWS data services and cloud architecture.
- Strong understanding of data modeling, ETL best practices, and performance tuning.
- Experience with Spark or similar big‑data processing frameworks.
- Excellent problem‑solving skills and a collaborative mindset.