Talent Stock Solutions is Hiring | Multiple QA & Data Engineering Opportunities | Bangalore, Hyderabad & Ahmedabad

Talent Stock Solutions is actively hiring talented professionals across multiple technology domains and locations. Whether you're an experienced QA Lead, QA Automation Engineer, QA Manual Engineer, or Senior Data Engineer, this is your chance to work on impactful projects while accelerating your professional growth. The company is seeking experienced individuals who are passionate about delivering quality software solutions and building modern data platforms. With opportunities available in Bangalore, Hyderabad, and Ahmedabad, candidates will have the chance to collaborate with skilled teams, solve challenging technical problems, and contribute to innovative business solutions. The organization focuses on delivering impactful technology solutions through innovation, collaboration, and continuous improvement. Selected candidates will contribute to challenging projects that require technical excellence, problem-solving skills, and a commitment to delivering high-quality outcomes.

As a QA Lead, you may be responsible for leading Quality Assurance initiatives, defining testing strategies and best practices, coordinating with development and product teams, mentoring QA engineers and driving quality improvements, and ensuring successful project delivery through effective testing processes. QA Automation Engineer responsibilities may include designing and maintaining automation frameworks, developing automated test scripts, executing regression and functional test suites, collaborating with developers to improve software quality, and supporting CI/CD testing workflows. QA Manual Engineer responsibilities include preparing and executing manual test cases, performing functional and regression testing, identifying and documenting software defects, validating business requirements, and working closely with cross-functional teams. Senior Data Engineer key responsibilities may involve designing scalable data pipelines, building enterprise data processing solutions, managing data integration workflows, optimizing data storage and processing systems, and collaborating with analytics and engineering teams.

Depending on the position, candidates should possess expertise in software testing concepts, manual testing methodologies, automation testing frameworks, test planning and execution, defect lifecycle management, data engineering principles, data pipeline development, analytical and problem-solving skills, team collaboration and communication, and ability to work on enterprise-scale technology projects.