Databricks with Python and Cloud
Tasks
- Apply access controls and compliance controls
- Build data pipelines on Databricks
- Collaborate on machine learning model development and deployment
- Develop batch and real time processing with Apache Spark
- Ensure data quality, monitoring, and logging
- Govern data with Unity Catalog
- Implement Delta Lake and data modeling
- Manage data workflows with Databricks Workflows
- Optimize pipeline performance and reliability
- Set up CI/CD pipelines for deployments
- Use Databricks notebooks and MLflow for ML workflows
Perks/Benefits
Skills/Tech-stack
AWS | Access Control | Apache Spark | Azure | Azure DevOps | CI/CD | Cloud platform | Data Modeling | Data Partitioning | Databricks | Databricks Workflows | Delta Lake | Git | Google Cloud | Google Cloud Platform | Logging | MLOps | MLflow | Machine Learning | Monitoring | NumPy | Pandas | Performance Tuning | PySpark | Python | Scala | Unity Catalog
Education
N/A
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