Job Title: Data Engineer

Job ID: 2023-11994

Job Location: Morris Plains, NJ (remote to start)

Job Travel Location(s):

# Positions: 2

Employment Type: W2

Candidate Constraints:

Duration: Long Term

# of Layers: 0

Work Eligibility: All Work Authorizations are Permitted

Key Technology: Spark, Py-Spark, Shell scripting, Teradata, Hive and Hadoop

Job 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.

Skills and Experience Required
  • Strong development experience in Spark, Py-Spark, Shell scripting, Teradata, Hive and Hadoop
  • Experience of Ab Initio is a bonus.
  • 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
  • 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
  • Experience with AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch)
  • Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration)
  • 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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Data Engineer

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