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QA Automation

Roles & Responsibilities

  • 4+ years of QA automation experience with a focus on ETL testing
  • Strong hands-on experience with ETL tools, data integration, and SQL-based data validation
  • Solid understanding of data warehousing concepts, data pipelines, and automated testing framework design
  • Ability to work effectively in a remote environment with strong communication and collaboration skills

Requirements:

  • Design, develop, and execute test cases for ETL processes and data pipelines
  • Perform end-to-end ETL testing to validate data extraction, transformation, and loading
  • Develop and maintain automation frameworks for data validation and regression testing
  • Write and execute complex SQL queries to validate data accuracy and consistency

Job description

This role is for one of the Weekday's clients

Salary range: Rs 100000 - Rs 1400000 (ie INR 1-14 LPA)

Min Experience: 4 years

Location: Remote (India)

JobType: full-time

We are seeking a detail-oriented and experienced QA Automation Engineer with strong expertise in ETL testing and SQL to ensure the quality, accuracy, and reliability of data-driven systems. This role focuses on validating data pipelines, testing ETL processes, and building automated testing frameworks to support scalable data operations. As a remote, full-time position based in India, this role is ideal for someone who is passionate about data quality and enjoys working with complex data transformations. The ideal candidate will collaborate closely with data engineers, developers, and business stakeholders to ensure that data workflows are accurate, efficient, and aligned with business requirements. This position requires strong analytical skills, a deep understanding of ETL processes, and the ability to design robust testing strategies for data-centric applications.

Requirements

Key Responsibilities

  • Design, develop, and execute test cases for ETL processes and data pipelines
  • Perform end-to-end ETL testing to validate data extraction, transformation, and loading processes
  • Develop and maintain automation frameworks for data validation and regression testing
  • Write and execute complex SQL queries to validate data accuracy and consistency
  • Validate data across multiple sources, ensuring completeness, integrity, and correctness
  • Identify, document, and track defects, ensuring timely resolution with development teams
  • Collaborate with data engineers and developers to understand data flows and business logic
  • Perform data reconciliation and ensure alignment between source and target systems
  • Optimize testing processes to improve efficiency, coverage, and reliability
  • Participate in requirement analysis and contribute to test planning and strategy
  • Maintain clear documentation for test cases, scenarios, and results
  • Ensure adherence to quality standards and best practices in data testing

What Makes You a Great Fit

  • Minimum 4+ years of experience in QA automation with a focus on ETL testing
  • Strong hands-on experience with ETL tools and data integration processes
  • Advanced proficiency in SQL for data validation and analysis
  • Solid understanding of data warehousing concepts and data pipelines
  • Experience in designing and implementing automated testing frameworks
  • Familiarity with testing tools and methodologies for data validation
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to work independently in a remote environment
  • Good communication and collaboration skills
  • Experience working with large datasets and complex data transformations
  • Knowledge of scripting or programming languages is an advantage
  • Proactive approach to identifying issues and improving testing processes

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