Data Engineer (all Genders) mit Schwerpunkt Databricks
Tasks
- Build modern data pipelines
- Collaborate with Data Scientists BI developers and clients
- Design and implement Lakehouse architectures
- Ensure performance stability and observability
- Integrate various data sources
- Model Data for Analytics BI and AI Use Cases
- Orchestrate and automate Pipelines
Perks/Benefits
- Additional benefits
- Company devices
- Employee participation programs
- Flexible work options
- Mentoring programs
- Sports club memberships
Skills/Tech-stack
AWS GCP | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | CI/CD | CI/CD Workflows | Cloud Platforms | Cloud Platforms (AWS | Cloud platforms AWS GCP | Cluster management | DBT | Data Factory | Data Governance | Data Lake Storage | Data Modeling | Databricks Jobs | Delta Lake | ELT pipelines | ETL/ELT | ETL/ELT pipelines | Git | Kafka | MLflow | Pipelines | Power BI | PySpark | Roles models | Spark | Structured Streaming | Unity Catalog
Education
Roles
Regions
Countries
States
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