Data Engineer (m/w/d)
Tasks
- Build ETL/ELT data pipelines
- Contribute to data analytics architecture components
- Design and implement data engineering solutions
- Develop automated Databricks workflows
- Develop data extraction, transformation, loading processes
- Ensure data quality and security
- Implement Spark and PySpark data processing
- Perform data engineering documentation
- Support pre-sales technical qualification
- Work in agile teams on proofs of concept
Perks/Benefits
Skills/Tech-stack
Amazon Web Services | Apache Spark | Big Data | Cloud platform | Data Warehousing | Databricks | ELT | ETL | Google Cloud | Google Cloud Platform | Jupyter | MLOps | Microsoft Azure | PySpark | Python | SQL | Web Services
Education
N/A
Roles
Regions
Countries
States
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