Data Quality Engineering

Role Overview

We are looking for experienced Data Quality Engineers with strong expertise in data testing, validation, reconciliation, SQL, Python/PySpark, and test automation. The ideal candidate should have hands-on experience working with ETL/Big Data environments and cloud data platforms.

Key Responsibilities

• Perform ETL and Big Data testing across data pipelines and data platforms.
• Validate data accuracy, completeness, consistency, and integrity across source and target systems.
• Perform data reconciliation and identify data quality issues across different systems.
• Develop and execute complex SQL queries for data validation and testing.
• Use Python/PySpark for data processing, validation, and test automation.
• Design, develop, and maintain automation test frameworks for data testing.
• Work with cloud-based data services across AWS, Azure, or GCP.
• Collaborate with development, data engineering, and business teams to identify and resolve data quality issues.

Mandatory Skills

• Strong experience in ETL / Big Data Testing
• Data Quality & Data Validation
• Data Reconciliation
• Advanced SQL
• Python / PySpark
• Experience building or working with Automation Test Frameworks
• Hands-on experience with at least one cloud platform: AWS / Azure / GCP

Important Eligibility Criteria

• Only September and October joiners will be considered.
• Candidates should be comfortable working from the Bangalore or Hyderabad office 3 days per week.
• Candidates should be available to participate in the 19th September hiring drive.