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,demosand retrospectives

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, HiveSQLand 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 CloudWatch)
Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration)

Additional Skills:

Exercises considerable creativity, foresight, and judgment in conceiving, planning, and delivering initiatives.

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