Role Overview

We are looking for experienced Data Quality Engineers with solid 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
Solid 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

Significant 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.

📌 Data Quality Engineering Hyderabad
🏢 Mytech
📍 Hyderabad