
Expertise in Data Warehousing and Engineering
5 days ago
This role involves managing and deploying Databricks clusters at scale, troubleshooting issues within Databricks, and providing expertise on Databricks infrastructure and administration.
The ideal candidate will have strong fundamental knowledge of data warehousing and data engineering concepts, including Spark, Python, Docker, Kubernetes, AWS S3, Lambda, and EMR.
- Key Responsibilities:
- Manage and deploy Databricks clusters at scale
- Troubleshoot issues within Databricks and work with system tables
- Provide expertise on Databricks infrastructure and administration to address queries and troubleshooting issues in notebooks
- Collaborate with the Analyst community to resolve Databricks-related issues
Benefits: This is a 2-day-a-week role that can be performed remotely from anywhere. The successful candidate will have the opportunity to work with cutting-edge technology and contribute to the growth of our business.
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ai - Senior Data Engineer - ETL/Data Warehousing
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