Job Description
Responsibilities
- Develop modern data solutions and architecture for cloud-native data platforms.
- Build cost-effective infrastructure in Databricks and orchestrate workflows using Databricks/ADF.
- Lead data strategy sessions focused on scalability, performance, and flexibility.
- Collaborate with customers to implement solutions for data modernization.
- Create training plans and learning materials to upskill VM associates.
- Build a smart operations framework for DataOps and MLOps.
Requirements
- Should have 14+ years of experience with last 4 years in implementing Cloud native end-to-end Data Solutions in Databricks from ingestion to consumption to support variety of needs such as Modern Data warehouse, BI, Insights and Analytics
- Experience in architecture and implementing End to End Modern Data Solutions using Azure and advanced data processing frameworks like Databricks <...
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