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AB initio Developer with BIG DATA || Remote at Remote, Remote, USA
Email: [email protected]
From:
Boopathy,
Smart IT Frame
[email protected]
Reply to:   [email protected]

Role: AB initio Developer with BIG DATA
Client: Cognizant/EHSC
Location: Remote

Note: Strong in AWS

Job summary
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, Ab Initio
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

Experience 6to10Yrs
Required Skills Abinitio admin
Nice to have skills ,Hadoop Administration
Shift Day 9 TO 5 PM CST

Roles & Responsibilities
Strong development experience in Spark, Py-Spark, Shell scripting, Teradata, Hive and Hadoop
Proven Experience of Ab Initio
Strong experience in writing complex and effective SQLs (using Teradata SQL, Hive SQL and Spark SQL) and Stored Procedures
Excellent work experience on Hadoop as data warehouse/Data Lake implementations
Hands-on experience with AWS services like S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, RDS, Athena, and CloudWatch
Experience in Agile and working knowledge on DevOps tools (Git, Jenkins, Artifactory)
Unix/Linux Shell scripting (KSH) and basic administration of Unix servers
CA7 Enterprise Scheduler
Basic to moderate Terraform development experience needed
Experience in Jira and Confluence
Exercises considerable creativity, foresight, and judgment in conceiving, planning, and delivering initiatives.
Health care domain knowledge is a plus

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Thanks & Regards 

Boopathy Rajan.S
Smart IT Frame - An E- Verify Employer 
220 Davidson Avenue Suite #313 Somerset NJ 08873
Direct: 8484554525

[email protected] | www.smartitframe.com

LinkedIn ID: linkedin.com/in/boopathy-rajan-s-14aba2244
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Wed Nov 16 17:07:00 UTC 2022

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