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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