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About Position: We are seeking a detail-oriented Data QA to ensure the accuracy, integrity, and reliability of data systems. The ideal candidate will have strong experience in data validation, SQL, and test automation, working closely with developers and analysts to improve data quality. Role: Data QA Location: Pune Experience: 5 to 12 Years Job Type: Full-Time Employment What You'll Do: Design and execute test plans, scenarios, and test cases for data validation Perform data testing using SQL and other validation tools Identify, analyze, and resolve data discrepancies and quality issues Collaborate with development and data teams to fix defects Develop and maintain automated test scripts for data validation Document test results, defects, and resolution status Ensure data integrity, consistency, and reliability across systems Contribute to improving overall data quality processes Expertise You'll Bring: Strong understanding of IT QA principles and testing methodologies Hands-on experience in automation testing and frameworks Proficiency in SQL with ability to write complex queries for validation Experience in data testing and validation techniques Strong analytical and problem-solving skills Knowledge of data quality management processes Understanding of ETL (Extract, Transform, Load) processes Familiarity with Python for scripting and automation Exposure to data analysis and identifying inconsistencies Knowledge of Big Data tools such as Hadoop, Spark Experience with Agile methodologies Understanding of data warehousing concepts Familiarity with visualization tools like Tableau or Power BI Knowledge of NoSQL databases such as MongoDB or Cassandra Bachelors degree in Computer Science, Information Systems, or related field Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Values-Driven, People-Centric & Inclusive Work Environment: Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We support hybrid work and flexible hours to fit diverse lifestyles. Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Lets unleash your full potential at Persistent - persistent.com/careers Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. About Position: We are seeking a detail-oriented Data QA to ensure the accuracy, integrity, and reliability of data systems. The ideal candidate will have strong experience in data validation, SQL, and test automation, working closely with developers and analysts to improve data quality. Role: Data QA Location: Pune Experience: 5 to 12 Years Job Type: Full-Time Employment What You'll Do: Design and execute test plans, scenarios, and test cases for data validation Perform data testing using SQL and other validation tools Identify, analyze, and resolve data discrepancies and quality issues Collaborate with development and data teams to fix defects Develop and maintain automated test scripts for data validation Document test results, defects, and resolution status Ensure data integrity, consistency, and reliability across systems Contribute to improving overall data quality processes Expertise You'll Bring: Strong understanding of IT QA principles and testing methodologies Hands-on experience in automation testing and frameworks Proficiency in SQL with ability to write complex queries for validation Experience in data testing and validation techniques Strong analytical and problem-solving skills Knowledge of data quality management processes Understanding of ETL (Extract, Transform, Load) processes Familiarity with Python for scripting and automation Exposure to data analysis and identifying inconsistencies Knowledge of Big Data tools such as Hadoop, Spark Experience with Agile methodologies Understanding of data warehousing concepts Familiarity with visualization tools like Tableau or Power BI Knowledge of NoSQL databases such as MongoDB or Cassandra Bachelors degree in Computer Science, Information Systems, or related field Benefits: Competitive salary and benefits package Culture focused on tal
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