onsite
Data Engineer - CANCOM Austria AG
Data Engineer
Data Engineer responsible for designing, building, and maintaining scalable data pipelines and data warehouses using Python, SQL, and AWS services. Focus on data quality, performance, and collaboration with analytics teams.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines to ingest, transform, and load data from diverse sources into cloud data warehouses.
- Implement data modeling best practices, ensuring optimal schema design for analytics and reporting.
- Monitor pipeline performance, troubleshoot issues, and optimize for scalability and cost-efficiency on AWS.
- Collaborate with data scientists and business analysts to understand data requirements and deliver high‑quality datasets.
- Document data flows, data dictionaries, and maintain version control for all data assets.
Requirements
- Proven experience with Python, SQL, and AWS services (S3, Redshift, Glue, Lambda).
- Strong understanding of data modeling, normalization, and dimensional design.
- Hands‑on experience building and maintaining ETL pipelines using modern tools (Airflow, dbt, or similar).
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.
- Effective communication skills for cross‑functional collaboration.