Databricks Engineer
Tasks
- Automate workflows with CI CD pipelines and infrastructure as code
- Design implement optimize big data pipelines in Databricks
- Develop scalable ETL workflows
- Enable AI ML workflows collaboration
- Ensure data integrity quality and reliability
- Implement data governance security policies compliance standards
- Monitor troubleshoot Databricks clusters jobs performance bottlenecks
- Optimize data lakehouse architectures performance and cost efficiency
- Process data with Apache Spark
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Kinesis | Apache Kafka | Apache Spark | Azure | CI/CD | Cloud platform | Compliance | Data Governance | Data Lakehouse | Data Security | Databricks | Databricks SQL | Delta Lake | Docker | ETL | Feature Store | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Looker | MLflow | Power BI | Python | SQL | Scala | Tableau | Terraform | “as-code”
Education
Roles
Regions
Countries
States
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