Senior Data Engineer Databricks (m/f/d)
Tasks
- Build data lake data warehouse and lakehouse workflows
- Collaborate with clients on data strategy
- Coordinate with architects, analysts, BI, and data science teams
- Define data quality controls and validations
- Design and evolve ETL/ELT pipelines
- Document data architecture data flows and critical processes
- Establish technical standards and best practices
- Implement data ingestion transformation and persistence
- Optimize data pipeline performance scalability and reliability
- Provide code review and mentoring for data engineering teams
Perks/Benefits
- Access to health wellbeing and legal advice
- Childcare support
- Coursera access
- Experience days
- Flexible schedule
- Hybrid work model
- Language classes
- Life and accident insurance
- Meal vouchers
- Medical leave income coverage
- Mentoring sessions
- Paid Vacation Over 26 Days
- Private medical insurance
- Social fund
- Telemedicine
- Telework 4 weeks per year
- Transportation allowance
Skills/Tech-stack
Agile | Amazon Web Services | Apache Spark | Azure | CI/CD | Cloud Architecture | Data Engineering | Data Lake | Data Lineage | Data Quality | Data Reconciliation | Data Validation | Data Warehouse | Databricks | Distributed Computing | ELT | ETL | Git | Google Cloud | Lakehouse | Power BI | PySpark | Python | SQL | Version control | Web Services
Education
N/A
Roles
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