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Data Engineering Advisor

3 months ago


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Role Title: Software Engineering Advisor

Position Summary:

Data engineer on the Data integration team

Job Description & Responsibilities:

  • Work with business and technical leadership to understand requirements.
  • Design to the requirements and document the designs
  • Ability to write product-grade performant code for data extraction, transformations and loading using Spark, Py-Spark
  • Do data modeling as needed for the requirements.
  • Write performant queries using Teradata SQL, Hive SQL and Spark SQL against Teradata and Hive
  • Implementing dev-ops pipelines to deploy code artifacts on to the designated platform/servers like AWS.
  • Troubleshooting the issues, providing effective solutions and jobs monitoring in the production environment
  • Participate in sprint planning sessions, refinement/story-grooming sessions, daily scrums, demos and retrospectives.

Experience Required:

  • Overall 8-10 years of experience

Experience Desired:

  • Strong development experience in Spark, Py-Spark, Shell scripting, Teradata.
  • Strong experience in writing complex and effective SQLs (using Teradata SQL, Hive SQL and Spark SQL) and Stored Procedures
  • Healthcare domain knowledge is a plus

Education and Training Required:

Primary Skills:

  • Excellent work experience on Databricks as Data Lake implementations
  • Experience in Agile and working knowledge on DevOps tools (Git, Jenkins, Artifactory)
  • AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch)
  • Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration

Additional Skills:

  • Experience in Jira and Confluence
  • Exercises considerable creativity, foresight, and judgment in conceiving, planning, and delivering initiatives.