Senior Quality Engineer - Data PayU

  • company name PayU
  • working location Office Location
  • job type Full Time

Experience: 4 - 4 years required

Pay:

Salary Information not included

Type: Full Time

Location: Maharashtra

Skills: ETL, data warehousing, Business Intelligence, SQL, Oracle SQL, POSTGRES, Agile methodology, JIRA, Python Scripting, mssql

About PayU

Job Description

Role Title: Sr Quality Engineer - Data Location: Mumbai Preferred/ Bangalore About the Team Our Team is a specialized in bridging the gap between development and testing. Unlike traditional QA roles, SDETs have strong programming skills and contribute to both the development and testing aspects of software products. About the Role Quality Assurance is a systematic process that ensures a product or service meets specified requirements and customer expectations. In software development, QA professionals test applications to identify bugs, verify functionality, and ensure the overall quality of the product. 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: 35 years of ETL, DW, and BI testing experience. 12 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,