Senior Data Engineer Databricks (m/f/d)
Tasks
- Collaborate with architects BI and data science teams
- Define ETL/ELT processes
- Define data quality controls and validations
- Design data ingestion and transformations
- Document data architecture and critical data flows
- Implement data persistence in data lakes warehouses and lakehouses
- Optimize data pipeline performance scalability and reliability
- Provide technical leadership and code review
- Set development standards for data pipelines
- Support client technical decisions on data strategy
Perks/Benefits
- Additional paid vacation
- Childcare support
- Continuous training
- Flexible work hours
- Free specialist services
- Hybrid work model
- Life and accident insurance
- Medical insurance
- Restaurant vouchers
- Social fund
- Transportation support
Skills/Tech-stack
Agile | Amazon Web Services | Apache Spark | Azure | CI/CD | Cloud platform | Data Lake | Data Lineage | Data Quality | Data Validation | Data Warehouse | Databricks | Distributed Processing | Git | Google Cloud | Google Cloud Platform | Lakehouse | PySpark | Python | Reconciliation | SQL | Version control | Web Services
Education
N/A
Roles
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