Databricks Data Engineer
EUR 47K-72K (estimate) Mid-level Full Time
Tasks
- Build data transformations with Spark
- Collaborate with stakeholders on data requirements
- Design data models for data warehouses
- Design data pipelines
- Implement data quality checks
- Integrate Databricks with cloud storage and compute
- Load data into data lakes and data warehouses
- Maintain data governance best practices
- Optimize pipeline performance
- Orchestrate data workflows with Databricks Workflows
- Stay current with Databricks features and data engineering trends
Perks/Benefits
- Career development plan
- Internal community events
- Knowledge sharing sessions
- Training and certifications
- Work from Europe up to 4 weeks per year
Skills/Tech-stack
Amazon S3 | Apache Spark | Azure Data | Azure Data Lake | Azure Data Lake Storage | Cloud Storage | Data Governance | Data Lake Storage | Data Lakes | Data Modeling | Data Quality | Data Warehousing | Databricks | Databricks Runtime | Databricks SQL | Databricks Workflows | Delta Lake | ETL | Google Cloud | Google Cloud Storage | PySpark | Python | SQL | Scala | Spark SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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