Senior Data Engineer (Databricks)
Tasks
- Build and optimize data architecture
- Create and optimize data pipelines
- Define data engineering and cloud best practices
- Design and implement data solutions on Databricks in Azure and AWS
- Integrate data sources
- Monitor and apply Databricks Azure and AWS technology trends
- Optimize cost of data solutions
- Optimize performance and scalability
- Participate in proof of concept and solution validation
- Translate business requirements into technical design
Perks/Benefits
- Hybrid work
- Language training
- Meal allowance
- Mobile phone
- Multisport card subsidy
- Paid time off
- Partner benefits
- Pension contribution
- Professional development training
- Sick days
Skills/Tech-stack
Amazon Web Services | Apache Spark | Azure | Cloud Architecture | Cost Optimization | Data Architecture | Data Lake | Data integration | Data pipeline | Databricks | Lakehouse | Performance optimization | Presales | Proof of Concept | Scalability | Web Services
Education
N/A
Roles
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