Description

You will build and maintain data pipelines and test data warehouse functionality.

Responsibilities

• Develop and optimize ETL processes using specified tools and languages.
• Write complex SQL scripts and manage database interactions across various platforms.
• Perform rigorous report and dashboard testing to ensure data integrity.
• Work independently to deliver data engineering tasks within required timings.

Required Skills

• 4-6 years of experience with Python or Java.
• Proficiency in Spark, Scala, and Hive.
• Experience with Microsoft Azure Cloud Services, specifically Data Bricks.
• 4-8 years in Data Warehouse, ETL implementation, and Report Testing.
• Strong SQL scripting skills and deep database knowledge (Oracle, SQL Server, Snowflake).
• Hands-on experience with ETL tools, preferably Informatica.
• 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