onsite
Data Engineer - CANCOM Converged Services GmbH
Data Engineer
Design, build, and maintain scalable data pipelines and warehouses using Python, SQL, and AWS services, ensuring data quality, performance, and reliability for analytics and machine learning initiatives.
About the role
Key Responsibilities
- Develop and maintain robust ETL pipelines to ingest, transform, and load data from diverse sources into cloud data warehouses.
- Design and implement data models, schemas, and partitioning strategies to optimize query performance and storage costs.
- Collaborate with data scientists and analysts to provide clean, well‑documented datasets for modeling and reporting.
- Monitor pipeline health, troubleshoot failures, and implement automated alerts and recovery mechanisms.
- Ensure data security, compliance, and governance by applying encryption, masking, and access controls.
Requirements
- Proven experience with Python, SQL, and AWS services such as Redshift, S3, Glue, and Lambda.
- Strong understanding of data modeling, normalization, and dimensional design.
- Hands‑on experience with ETL/ELT tools (e.g., Airflow, dbt) and version control (Git).
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.
- Good communication skills and a collaborative mindset.