Senior Quality Engineer - Data

PayU · Bengaluru

  • Experience3–5 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelmid
  • Posted10 Sept 2026
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About PayU

PayU is hiring in Bengaluru in financial services. This role looks for around 3+ years of experience.

Skills

  • ETL testing
  • Data Warehousing testing
  • BI testing
  • Python
  • SQL
  • Oracle SQL
  • MSSQL
  • PostgreSQL
  • Agile
  • JIRA
  • Robot Framework

The role

A quality assurance engineer at a payments technology company conducts ETL testing, data warehousing testing, and BI testing, then builds Python automation and validates SQL data systems. Agile and Robot Framework support reliable data engineering quality.

Full job description

PAYU PAYMENTS PRIVATE LIMITED Are you passionate about ensuring high-quality data processes and systems? Join our team as a Data Engineering QA Engineer and contribute to delivering robust and reliable data solutions.

Responsibilities:

Conduct ETL, Data Warehousing (DW), and Business Intelligence (BI) testing to ensure the robustness of data systems.Create and execute comprehensive test cases, including the creation of test scripts and test data, focusing on functional operations and user perspectives.Develop and automate test scenarios using Python scripting.Work closely with stakeholders to translate functional specifications into effective testing scenarios.Execute SQL scripts for relational databases such as Oracle SQL, MSSQL, or Postgres, ensuring data accuracy and consistency.Perform requirement analysis to understand testability and ensure adherence to quality standards.Collaborate with teams in Agile environments and contribute to quality assurance during sprints.Leverage tools such as JIRA to track and manage testing progress.Ensure compliance with testing methodology standards and best practices.

Required Qualifications:

3–5 years of ETL, DW, and BI testing experience.1–2 years of test automation scripting (preferably with Robot Framework or Python).Solid understanding of Data Warehousing concepts and technologies.Proficiency in SQL (mandatory) and relational database management systems like Oracle, MSSQL, or Postgres.Preferable: Working knowledge of AWS cloud services.Strong analytical skills and attention to detail.Knowledge of Agile methodology and testing tools like JIRA.

Be a part of our dynamic team and ensure the highest level of quality in our data engineering processes!