Quality Assurance Engineer

Requirements

• Analyze technical and functional specifications of the Data Highway product to create comprehensive test strategies
• Develop detailed test plans, test cases, and test scripts for functional, performance, and regression testing
• Define testing criteria and acceptance standards for data pipelines, APIs, and distributed systems
• Execute manual and automated tests for various components of the Data Highway, including data ingestion, processing, and output modules
• Perform end-to-end testing of data pipelines to ensure accuracy, integrity, and scalability.Validate real-time and batch data processing flows to ensure performance and reliability
• Identify, document, and track defects using tools like JIRA, providing clear and actionable descriptions for developers
• Collaborate with development teams to debug issues, verify fixes, and prevent regression
• Perform root cause analysis to identify underlying problems and recommend process improvements
• Conduct performance testing to evaluate system behavior under various load conditions, including peak usage scenarios
• Monitor key metrics such as throughput, latency, and resource utilization to identify bottlenecks and areas for optimization
• Test APIs for functionality, reliability, and adherence to RESTful principles
• Validate integrations with external systems and third-party services to ensure seamless data flow
• Work closely with cross-functional teams, including developers, product managers, and DevOps, to align on requirements and testing priorities
• Participate in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives to ensure smooth communication and collaboration
• Provide regular updates on test progress, coverage, and quality metrics to stakeholders
• Collaborate with automation engineers to identify critical test cases for automation
• Use testing tools like Postman, JMeter, and Selenium for API, performance, and UI testing as required
• Assist in maintaining and improving automated test frameworks for the Data Highway product
• Validate data transformations, mappings, and consistency across data pipelines
• Ensure the security of data in transit and at rest, testing for vulnerabilities and compliance with industry standards
• Maintain detailed and up-to-date documentation for test plans, test cases, and defect reports
• Contribute to user guides and knowledge bases to support product usage and troubleshooting
  

Desired Skills & Experience:

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent professional experience
• 3+ years of experience as a Quality Assurance Engineer, preferably in testing data pipelines, distributed systems, or SaaS products
• Strong understanding of data pipelines, ETL processes, and distributed systems testing
• Experience with test management and defect-tracking tools like JIRA, TestRail, Zephyr
• Proficiency in API testing using tools like Postman or SoapUI
• Familiarity with SQL and database testing for data validation and consistency
• Knowledge of performance testing tools like JMeter, LoadRunner, or similar
• Experience with real-time data processing systems like Kafka or similar technologies
• Familiarity with CI/CD pipelines and DevOps practices
• Exposure to automation frameworks and scripting languages such as Python or JavaScript
• Strong analytical and problem-solving skills with attention to detail
• Excellent communication and collaboration skills to work effectively with cross-functional teams
• Proactive and self-driven approach to identifying and resolving quality issues
  

Benefits

Our Culture:

• We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly
• Flat hierarchy with fast decision making and a startup-oriented "get things done" culture
• A strong, fun & positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse & authentic environment