Description

You will build and maintain automation frameworks for Data Warehouse workflows, implementing ETL processes with Hadoop and Spark.

Responsibilities

• Develop and execute automation frameworks to support Data Warehouse operations.
• Implement ETL processes using Hadoop and Spark.
• Manage data operations via Data API and MLP.
• Execute SQL, VB, and Python scripting for data tasks.

Required Skills

• 5+ years of experience in data development.
• Proficiency with Hadoop and Spark.
• Strong SQL scripting skills.
• Python programming capability.
• Experience with Unix/Linux environments.
• Practical knowledge of ETL process implementation.
• Familiarity with Jira and Confluence.

Preferred Skills

• Experience with Enterprise Data Warehouse and Reference Data Management.
• Unix/Linux batch scripting proficiency.
• Background in performance testing, volume testing, and Disaster Recovery Testing.

Key Skills

Education

Bachelor's degree