Description

You will focus on data reconciliation, complex SQL, and ETL testing to ensure the integrity of data infrastructure and analytics platforms.

Responsibilities

• Write and optimize complex SQL queries to validate data pipelines, transformations, and reporting accuracy.
• Design and execute test strategies to validate ETL processes from structured and unstructured sources into data warehouses.
• Develop and automate test scripts to validate data integrity and reconciliation between source and target systems.
• Perform root cause analysis on data discrepancies and resolve inconsistencies in large datasets.
• Build and continuously improve automated frameworks for ETL testing and data validation.

Required Skills

• 5+ years of experience in Software Development, Quality Assurance, or Data Engineering.
• Advanced SQL skills for complex queries and data pipeline validation.
• Hands-on experience with ETL testing and ETL processes.
• Experience with data reconciliation and validating data integrity across systems.
• Ability to design test strategies for both structured and unstructured data.
• Any Graduate degree.

Preferred Skills

• Experience with Python as a scripting language.
• Experience with HiveQL for Hive Database.

Key Skills

Education

Any Graduate