Data QA Engineer
14 hours ago
About the Role:
We are seeking an experienced Data QA Engineer to join our team and ensure the accuracy, consistency, and reliability of our data products and pipelines. You will play a key role in validating data at scale, implementing automated quality checks, and collaborating closely with engineering and product teams. The ideal candidate has a strong foundation in testing methodologies, data validation techniques, and test case management, with hands-on expertise in Python, automation, and AWS. Experience with big data technologies like PySpark, BigQuery, and data analysis libraries such as Pandas is a strong advantage.
Mandatory Skills: Python + API Testing + SQL + Postman + Web App Automation + Agile + Jira
Key Responsibilities
Design, develop, and execute data validation test plans and test cases for data pipelines, ETL processes, and data-driven applications
Build and maintain automated data quality checks and regression test suites using Python
Identify, document, and track data issues through to resolution
Validate data transformations, aggregations, and reporting outputs against source data and business rules
Collaborate with data engineers, analysts, and product managers to define effective test strategies and clear acceptance criteria
Monitor, validate, and troubleshoot data pipelines deployed on AWS cloud infrastructure
Analyze large datasets to detect anomalies and ensure data integrity
Continuously improve QA processes, tools, and best practices for data-centric testing
Required Skills & Qualifications
Minimum 5 years of experience in QA/testing, with a focus on data validation and data-centric testing
Strong knowledge of testing methodologies, defect tracking, and test case management tools
Proficiency in Python, with experience automating test cases and developing validation scripts
Hands-on experience with AWS services such as S3, EMR, SQS, Athena, etc.
Solid understanding of SQL and ability to write and optimize queries for data validation
Excellent analytical and problem-solving skills, with keen attention to detail
Strong communication skills and ability to thrive in a collaborative, cross-functional team environment
Preferred Skills (Good-to-Have)
Experience with big data tools: PySpark, BigQuery, etc.
Familiarity with distributed data processing frameworks and architectures
Knowledge of data analysis libraries such as Pandas, NumPy, etc.
Exposure to CI/CD pipelines and QA automation frameworks
API Testing with Postman
Web App Automation
Agile and Jira experience
Notice Period: Immediate to maximum 1 week joiners preferred
Job Type: Full-time
Pay: ₹900, ₹1,200,000.00 per year
Benefits:
- Health insurance
- Life insurance
- Provident Fund
Application Question(s):
- What is your current location?
Experience:
- Test automation: 4 years (Required)
Work Location: Remote
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