Senior Data Engineer (Databricks)
Prague, Czech Republic, Czechia
CZK 612K-684K (estimate) Senior-level Full Time
Tasks
- Analyze business requirements and translate into technical designs
- Build and optimize data architecture data pipelines data lakes lakehouse
- Configure governance security and access control with Unity Catalog and RBAC
- Convert and optimize SQL logic during migration
- Design and implement data solutions on Databricks in AWS
- Implement data orchestration for data flows
- Monitor Databricks and cloud technology trends
- Optimize performance scalability and cost of data solutions
- Perform end to end data integration
- Validate solutions in proof of concept with customers
Perks/Benefits
- Hybrid work
- Language training
- Meal allowance
- Mobile phone plan
- Multisport card
- Paid vacation
- Partner benefits
- Pension contribution
- Sick days
- Training and certifications
Skills/Tech-stack
AWS | Apache Airflow | BTEQ | Data Governance | Data Lakehouse | Data integration | Data pipeline | Databricks | Delta Lake | Delta Live Tables | Delta Live) | Direct Connect | EC2 | EMR | IAM | Lakehouse Architecture | PySpark | RBAC | S3 | SQL | Spark SQL | Stored Procedures | Teradata SQL | Unity Catalog
Education
N/A
Roles
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