Bigdata QA team member in new Data team - L3 India

LEAD QA Engineer 

Manager / Individual Contributor? 

• Individual Contributor 

Responsibilities: 

• Design and develop automation/performance solutions that meet organization standards and build reliable, reusable, and maintainable automated regression suites & test harnesses
• Create tools and frameworks with quality code to simplify testing scenarios.
• Design and develop test plans, test cases based upon functional and design specifications, execute test cases and analyze and report test results to the teams
• Work in partnership with the development teams to deliver business functionality on time with required quality that meets the acceptance criteria
• Acts as a test lead, works well as Individual contributor and lead team by example.
• Uses strong testing skills to provide guidance and assist project staff
• Reviews and approves the work of project team members in the writing of scripts, expected results, test results and defect descriptions. Ensure best practices are followed and testing activities stay on schedule.
• Focus on building efficient solutions for Web, Services/APIs, Database testing requirements.
• Participate in internal/cross team meetings, project scoping, functional reviews, test specifications, technical reviews for assigned projects in an Agile environment
• Involved in requirements review and participate in architecture/design reviews with an emphasis on test automation/performance strategy and ensuring best practices
• Participate actively in functional, system and regression testing activities
• Capture quality assurance data and metrics to provide insights and conclusions
• Estimate and perform risk analysis for quality delivery
• Agile evangelist

Qualifications 

• 5+ years of software testing experience in all phases of testing including test planning, test execution and test closure for all layer API, DB and UI. 
• Excellent understanding of QA and testing methodologies, best practices
• 5+ years of experience as an Automation QA Tester.
• 5+ years of experience creating/maintaining and executing automation tests utilizing tools such as Playwright required (Python essential), Knowledge of agentic AI, LLMs preferred.
• 5+ Years of experience in Agile processes (Scrum preferred)

• 3+ years of experience of working with REST service and understanding of SOA architecture. Knowledge of Swagger and SOAP preferred.
• Experience creating/maintaining automation frameworks preferred.
• Expertise using complex SQL to query databases required.
• Knowledge of file storage in S3, data validation with clob, blob, and messaging system kafka, required. 
• Expertise with DB process, data validation, transformation logics, ETL/ELT testing and data migration preferred. 
• Experience working with HIVE, SPARK, SCALA, Databricks, Big Data testing preferred. 
• Experience of DevOps pipeline in containerized environment using Azure DevOps/Jenkins preferred.
• Knowledge of any performance testing tool such as StomeRunner/LoadRunner, JMeter preferred. 
• Exposure to distributed source control systems such as Git.
• Experience with test data management techniques.
• Knowledge of Function as a Service, Container as a service, preferred.
• Experience with change management and defect tracking tools.
• Well versed with Defect Triage process and identification, tracking of corrective actions.
• Zeal to be domain expert and learn new technologies.
• Demonstrated analytical and problem-solving skills.
• Excellent interpersonal skills and written communications.
• High standards of confidentiality; ability to handle sensitive information with integrity and trust.
• Knowledge of cloud technologies like AWS/Azure and experience of testing micro-services, containers, Dockers is preferred

Minimum and Preferred Education 

• Bachelor's or higher qualification in Computer Science, Information Systems or equivalent is preferred

Minimum and Preferred Experience/Skills 

• 5+ years of relevant experience with bachelor’s degree or higher qualification 

Disclaimer

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.