Manager, Quality Engineer

Job Description

Manager, Quality Engineer The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the worlds greatest health threats. Our Technology Centres focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company s IT operating model, Tech Centres are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Centre helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centres. Role Overview Develop and Implement Advanced Automated Testing Frameworks: Architect, design, and maintain sophisticated automated testing frameworks for data pipelines and ETL processes, ensuring robust data quality and reliability. Conduct Comprehensive Quality Assurance Testing: Lead the execution of extensive testing strategies, including functional, regression, performance, and security testing, to validate data accuracy and integrity across the bronze layer. Monitor and Enhance Data Reliability: Collaborate with the data engineering team to establish and refine monitoring and alerting systems that proactively identify data quality issues and system failures, implementing corrective actions as needed. What will you do in this role: Develop and Implement Advanced Automated Testing Frameworks: Architect, design, and maintain sophisticated automated testing frameworks for data pipelines and ETL processes, ensuring robust data quality and reliability. Conduct Comprehensive Quality Assurance Testing: Lead the execution of extensive testing strategies, including functional, regression, performance, and security testing, to validate data accuracy and integrity across the bronze layer. Monitor and Enhance Data Reliability: Collaborate with the data engineering team to establish and refine monitoring and alerting systems that proactively identify data quality issues and system failures, implementing corrective actions as needed. Leverage Generative AI: Innovate and apply generative AI techniques to enhance testing processes, automate complex data validation scenarios, and improve overall data quality assurance workflows. Collaborate with Cross-Functional Teams: Serve as a key liaison between Data Engineers, Product Analysts, and other stakeholders to deeply understand data requirements and ensure that testing aligns with strategic business objectives. Document and Standardize Testing Processes: Create and maintain comprehensive documentation of testing procedures, results, and best practices, facilitating knowledge sharing and continuous improvement across the organization. Drive Continuous Improvement Initiatives: Lead efforts to develop and implement best practices for QA automation and reliability, including conducting code reviews, mentoring junior team members, and optimizing testing processes. What You Should Have: Educational Background: Bachelors degree in computer science, Engineering, Information Technology, or a related field Experience: 4+ years of experience in QA automation, with a strong focus on data quality and reliability testing in complex data engineering environments. Technical Skills: Advanced proficiency in programming languages such as Python, Java, or similar for writing and optimizing automated tests. Extensive experience with testing frameworks and tools (e.g., Selenium, JUnit, pytest) and data validation tools, with a focus on scalability and performance. Deep familiarity with data processing frameworks (e.g., Apache Spark) and data storage solutions (e.g., SQL, NoSQL), including performance tuning and optimization. Strong understanding of generative AI concepts and tools, and their application in enhancing data quality and testing methodologies. Proficiency in using Jira Xray for advanced test management, including creating, executing, and tracking complex test cases and defects. Analytical Skills: Exceptional analytical and problem-solving skills, with a proven ability to identify, troubleshoot, and resolve intricate data quality issues effectively. Communication Skills: Outstanding verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Preferred Qualifications Experience with Cloud Platforms: Extensive familiarity with cloud data services (e.g., AWS, Azure, Google Cloud) and their QA tools, including experience in cloud-based testing environments. Knowledge of Data Governance: In-depth understanding of data governance principles and practices, including data lineage, metadata management, and compliance requirements. Experience with CI/CD Pipelines: Strong knowledge of continuous integration and continuous deployment (CI/CD) practices and tools (e.g., Jenkins, GitLab CI), with experience in automating testing within CI/CD workflows. Certifications: Relevant certifications in QA automation or data engineering (e.g., ISTQB, AWS Certified Data Analytics) are highly regarded. Agile Methodologies: Proven experience working in Agile/Scrum environments, with a strong understanding of Agile testing practices and principles. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who we are What we look for #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs Preferred Skills: Job Posting End Date: 08/31/2025 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.