Job
Description
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 or Hadoop Edge Nodes Implement Hadoop job orchestration using Shell scripting, Apache Oozie, CA7 Enterprise Scheduler and Airflow 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 Experience Desired: Experience in Jira and Confluence Health care domain knowledge is a plus Excellent work experience on Hadoop as data warehouse Experience in Agile and working knowledge on DevOps tools Education and Training Required: Primary Skills: Spark, Py-Spark, Shell scripting, Teradata, Hive and Hadoop SQLs (using Teradata SQL, Hive SQL and Spark SQL) and Stored Procedures Git, Jenkins, Artifactory Unix/Linux Shell scripting (KSH) and basic administration of Unix servers CA7 Enterprise Scheduler AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and Cloud Watch) Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration) Additional Skills: Exercises considerable creativity, foresight, and judgment in conceiving, planning, and delivering initiatives.
