Senior Data Analytics Engineer (m/f/d)
Tasks
- Build data models and architectural solutions
- Build serverless AWS data architectures
- Containerize applications with Docker
- Deploy and monitor production data workflows
- Design data transformation pipelines
- Ensure code quality with automated testing
- Implement CI/CD workflows
- Implement data quality checks
- Implement unit tests and integration tests for data pipelines
- Mentor engineers through code reviews
- Optimize SQL query performance
- Refactor legacy pipelines for performance and cost reduction
- Set up alerts and observability for data pipelines
Perks/Benefits
- 30 vacation days per year
- Company pension scheme
- Education budget
- Hybrid work model
- Latest hardware provided
- Remote work up to 3 months per year
- Team events
- Urban sports club membership
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon Redshift | Apache Airflow | Apache Spark | BigQuery | CI/CD | DBT | Dagster | Dbt tests | Docker | GitHub Actions | GitLab CI | Great Expectations | Integration Testing | Jinja | Prefect | Preset | PySpark | Python | SQL | Snowflake | Step Functions | Streamlit | Tableau | Terraform | Unit Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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