Data Engineer (m/w/d)
Tasks
- Build ETL and ELT pipelines
- Collaborate on solution architecture design and implementation
- Create data analytics components
- Develop automated data extraction transformation and loading
- Develop data lake and Spark workloads
- Document solutions using standards and best practices
- Ensure data quality and security
- Implement data warehousing solutions
- Support pre-sales technical qualification
Perks/Benefits
Skills/Tech-stack
AWS | Apache Spark | Azure | Big Data | Data Quality | Data Warehousing | Databricks | ELT | ETL | Google Cloud | Jupyter | MLOps | NumPy | Pandas | PySpark | Python | SQL
Education
Roles
Regions
Countries
States
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