Senior Data Engineer (f/m)
Tasks
- Coordinate with architects, analysts, BI, and data science teams
- Define design and evolve ETL ELT processes
- Define technical standards and development best practices for data pipelines
- Design data ingestion transformation and persistence pipelines
- Document data architecture data flows and critical processes
- Ensure data lineage traceability
- Implement data quality controls and validations
- Optimize data pipeline performance scalability and reliability
- Provide technical leadership code review and mentoring
Perks/Benefits
- Childcare support
- Continuous training
- Flexible working hours
- Free access to specialists
- Hybrid work model
- Income during sick leave
- Life and accident insurance
- Medical insurance
- Paid vacation
- Restaurant tickets
- Social fund
- Transportation support
Skills/Tech-stack
AWS | Agile methodologies | Apache Spark | Azure | CI/CD | Cloud | Cloud platform | Data Lake | Data Lineage | Data Quality | Data Warehouse | DataOps | ELT | ETL | Git | Google Cloud | Google Cloud Platform | Infrastructure as Code | Lakehouse | Orchestration | PySpark | Python | SQL | “as-code”
Education
N/A
Roles
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