Job Description

Overview
What you'll do:
  • Collaborate with decision scientists to enable and optimize AI/ML workflows through data engineering and platform support.
  • Provide support for Spark, Hive, and Hadoop jobs, including troubleshooting and performance analysis and optimization.
  • Participate in agile sprint cycles, helping to review designs, provide feedback, and ensure successful delivery.
  • Contribute to best practices for application development.
  • Gather requirements for platform and application enhancements and work with the team to implement them.
  • Continuously learn and expand your technical skills in data engineering and cloud technologies.
  • Support the migration of existing data or applications to cloud platforms (AWS, Azure, Databricks or GCP)
  • Learn and contribute to solutions on the Databricks platform, enabling data science and analytics at scale.

Abou...

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