Senior Data Engineer (f/m)
Tasks
- Coordinate with architects, analysts, BI, and data science teams
- Define technical standards and development patterns for data pipelines
- Design implement data ingestion transformation and persistence
- Document data platform architecture data flows and critical processes
- Establish data quality controls validations and tracing
- Lead ETL ELT process design and evolution
- Optimize data pipeline performance scalability and reliability
- Partner with client on data design decisions and data strategy
- Provide technical mentorship code review and expert support
Perks/Benefits
- Accident insurance
- Childcare support
- Continuous training
- Flexible schedule
- Hybrid work
- Income protection for medical leave
- Life insurance
- Meal vouchers
- Medical insurance
- Paid time off
- Social fund
- Transportation support
- Wellbeing support services
Skills/Tech-stack
Agile | Amazon Web Services | Apache Spark | Azure | CI/CD | Cloud Computing | Cloud platform | Data Lake | Data Lineage | Data Quality | Data Validation | Data Warehouse | Data Warehousing | Data pipeline | Data pipeline orchestration | DataOps | ELT | ETL | Git | Google Cloud | Google Cloud Platform | Lakehouse | Pipeline Orchestration | PySpark | Python | SQL | Version control | Web Services
Education
N/A
Roles
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