Role Description We’re seeking a highly skilled and detail-oriented QA Automation Engineer to lead automated and manual testing efforts across our growing analytics and data engineering ecosystem. In this role, you’ll validate large-scale data workflows, strengthen data quality, and ensure the reliability of data moving across complex ETL/ELT pipelines. Your work will directly support the accuracy, consistency, and performance of mission-critical data systems used across Dynatron’s products and operations. This position is ideal for an engineer with deep experience in data-centric QA automation, strong analytical thinking, and a passion for building scalable, reusable testing frameworks that guarantee our data is trustworthy, consistent, and ready for analytics and AI-driven innovation. Qualifications - 6-10+ years of QA Automation experience in data-intensive or analytics-driven environments. - Strong proficiency in SQL for data validation, profiling, and regression testing. - Hands-on experience with Python for automation scripting and data validation. - Extensive experience testing ETL/ELT pipelines and cloud-based data workflows. - Deep understanding of QA methodologies, test planning, defect lifecycle management, and automation principles. - Experience with CI/CD pipelines, Git-based workflows, and automated execution environments. - Strong analytical and troubleshooting skills for identifying data quality issues. - Excellent written and verbal communication skills. - Hands-on experience with Snowflake and at least one test automation framework/tool. Requirements - Design, develop, and maintain automated test frameworks for data pipelines and ETL workflows. - Build reusable test components for Snowflake, Databricks, ADF, Airflow, streaming pipelines, and more. - Automate schema validation, regression testing, backfill testing, and data contract checks. - Implement automated monitors for stream quality, lag, CDC correctness, and consistency. - Create, execute, and maintain detailed test cases, test plans, and regression suites for data enhancements. - Validate data accuracy, completeness, and integrity across ingestion, transformation, and downstream layers. - Develop SQL-based validation scripts to compare source vs. target datasets. - Perform root-cause analysis for data inconsistencies and work closely with engineering teams to resolve issues. - Partner with Data Engineers, Analysts, and Product teams to understand transformation logic and business rules. - Participate in sprint ceremonies including requirement reviews, estimations, and deployment validations. - Monitor pipeline execution, identify defects early, and verify fixes through structured retesting. - Drive QA best practices across multiple data environments. - Create documentation, reusable assets, and frameworks that elevate overall data quality discipline. Benefits - Work with a high-performance, globally distributed team shaping the future of data integrity and analytics quality. - Build automation frameworks that directly influence the reliability and speed of our data product ecosystem. - A remote-first environment with flexibility, autonomy, and strong cross-functional collaboration. - Opportunity to support a fast-scaling SaaS company redefining the under-innovated automotive service industry.

Senior Test Automation Engineer Location: Chennai Years of Exp: (7.1-9 years) About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Responsibilities - Part of an international Agile squad with teams in Chennai & Belgium - Responsible for development, testing & maintenance of payment applications - Work closely with BNP Paribas Fortis Tribe Payments team - Participate in analysis, design, testing & support activities - Focus on test automation and high-quality software delivery - Design test cases and prepare test datasets - Build and maintain automation frameworks - Develop automated test scripts using Java-based frameworks - Execute automated test suites and prepare reports - Contribute to continuous improvement & automation initiatives - Analyze requirements for automation feasibility Technical Skills - Java 8 & 17, OOP concepts - REST API, XML & JSON testing - JUnit, TestNG, Cucumber, BDD, Karate - Maven, Docker, GitLab, Jenkins - Swagger, JMeter, SQL, Oracle - SonarQube, Fortify, NexusIQ - IntelliJ, Insomnia, Bruno, Rally, Octane Additional Skills - Strong understanding of STLC & testing methodologies - Experience in Agile & Scrum environment - Banking & Payments domain knowledge - Strong communication and fluent English - Bachelor’s Degree in IT or equivalent - 8+ years of experience in QA Automation & Java Location - Chennai

Role Description As a Graduate QA Engineer, you will: - Work closely with developers, product managers, and senior QA engineers to understand requirements and validate features. - Write and execute test cases, perform exploratory testing, and support release cycles. - Build and maintain automated tests for web and/or API solutions (e.g., using Cypress, Playwright, Selenium, or similar). - Assist in designing and maintaining AI-assisted testing workflows, including using AI tools to accelerate test-case creation, test data generation, and defect analysis. - Use AI-powered capabilities to enhance automation frameworks, improve test coverage, and identify patterns in failures or user behaviour. - Participate in Agile ceremonies and contribute to continuous QA improvements. - Help design scalable and efficient testing strategies for new features, including opportunities for AI-based optimizations. - Investigate, reproduce, and document defects with clear detail. - Learn and grow in a supportive environment with mentoring from experienced QA and automation specialists. Qualifications - A recent degree in Computer Science, Software Engineering, Information Systems, or a related field (we're open to diverse academic backgrounds). - A passion for quality, problem-solving, and learning. - Basic programming knowledge (JavaScript, Python, C#, or similar). - Exposure to automation tools or frameworks (university projects count!). - Understanding of software development and testing fundamentals. - Strong communication skills and curiosity to explore how things work. - A proactive mindset and willingness to take ownership. Requirements - Not required but great if you've had some exposure to: - Automation frameworks (e.g., Cypress, Playwright, Selenium, Postman/Newman, REST Assured) - CI/CD pipelines (GitHub Actions, Azure DevOps, GitLab, etc.) - API testing and tools like Postman or Swagger - Version control (Git) - SQL basics - Performance testing tools (e.g., JMeter, k6)

• Development of internal tools and services using n8n, HubSpot and custom code-based services • Automation of manual processes using AI, APIs and modern SaaS tools • Building internal platforms for Support, Operations, Sales and Customer Success • Analyzing internal workflows and identifying bottlenecks & automation opportunities • Close collaboration with all teams to eliminate repetitive work • Building custom agents and optimizing them for the DACH context