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[25/06/2024] Data Engineering Advisor
2 weeks ago
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- Health care 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.
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