Description

You will build and maintain data pipelines while testing data warehouse functionality to ensure integrity.

This role is on-site.

Responsibilities

• Develop and optimize ETL processes using Python, Java, Spark, Scala, and Hive.
• Write complex SQL scripts and manage database interactions across Oracle, SQL Server, and Snowflake.
• Perform rigorous report and dashboard testing to validate data accuracy.
• Implement and maintain ETL workflows, preferably using Informatica.
• Work independently to deliver engineering tasks within required timelines.

Required Skills

• 4-6 years of experience with Python or Java.
• 4-8 years in Data Warehouse, ETL implementation, and Report Testing.
• Proficiency in Spark, Scala, and Hive.
• Experience with Microsoft Azure Cloud Services, specifically Data Bricks.
• Strong SQL scripting skills and deep database knowledge.
• Familiarity with Report/Dashboard tools.
• Ability to work the 12:30 pm to 9:30 pm shift.

Preferred Skills

• Experience building custom Python utilities for ETL automation.
• Experience working in an Agile (Scrum) environment using JIRA.

Key Skills

Education

Any Graduate