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Barclays β’ pune, Maharashtra, India
Role & seniority: Data Quality Engineer (Barclays), based in Pune. Role implies individual contributor with collaboration across teams.
Stack/tools: ETL tools (Ab Initio, Informatica, Talend, Apache Airflow or similar), SQL (Oracle, PostgreSQL, MySQL), API testing (Postman, SoapUI, REST Assured), test automation (Selenium, pytest), programming (Python/Java/Scala), shell scripting, Git, data profiling, CI/CD, cloud platforms (AWS/Azure/GCP), data warehousing concepts, Spark/Hadoop (nice to have).
Design, implement, and execute data quality checks and monitoring across data pipelines; validate high-volume data processes.
Build and maintain automated test frameworks for data validation and API testing; develop regression test suites for CI pipelines.
Perform root cause analysis of data quality issues; collaborate with data engineers to improve pipeline reliability and participate in code/design reviews.
Hands-on experience with ETL tools and data pipeline testing
Proficiency in SQL and database technologies
API testing tools and automation frameworks
Programming/scripting (Python, Java, Scala; shell)
Git, CI/CD integration, data profiling/quality assessment techniques
Experience with cloud platforms (AWS, Azure, GCP)
Data warehousing concepts and big data tech (Spark, Hadoop)
Knowledge of data governance frameworks
Location & work type: Pune, India; full-time role
Job Description Purpose of the role To design, develop, and execute testing strategies to validate functionality, performance, and user experience, while collaborating with cross-functional teams to identify and resolve defects, and continuously improve testing processes and methodologies, to ensure software quality and reliability. Accountabilities Development and implementation of comprehensive test plans and strategies to validate software functionality and ensure compliance with established quality standards. Creation and execution automated test scripts, leveraging testing frameworks and tools to facilitate early detection of defects and quality issues. . Collaboration with cross-functional teams to analyse requirements, participate in design discussions, and contribute to the development of acceptance criteria, ensuring a thorough understanding of the software being tested. Root cause analysis for identified defects, working closely with developers to provide detailed information and support defect resolution. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L β Listen and be authentic, E β Energise and inspire, A β Align across the enterprise, D β Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a teamβs operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship β our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset β to Empower, Challenge and Drive β the operating manual for how we behave. Join us as a Data Quality Engineer at Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. To be successful as a Data Quality Engineer you should have experience with: Debug, test, and validate ETL processes handling high-volume data loads Implement data quality checks and monitoring frameworks across data pipelines Identify and resolve data anomalies, inconsistencies, and integrity issues Optimize ETL performance for large-scale data processing Design and execute comprehensive API testing strategies (REST/SOAP) Build automated test frameworks for data validation and API testing Develop regression test suites for continuous integration pipelines Create and maintain test documentation and quality metrics Perform root cause analysis for data quality issues Collaborate with data engineers to improve pipeline reliability Monitor data quality KPIs and generate quality reports Participate in code reviews and technical design discussions Strong years in data quality engineering or related role Strong hands-on experience with ETL tools (Abinitio, Informatica, Talend, Apache Airflow, or similar) Proficiency in SQL and database technologies (Oracle, PostgreSQL, MySQL) Experience with API testing tools (Postman, SoapUI, REST Assured) Automation framework expertise (Selenium, pytest, or similar) Python, Java, or Scala for automation Shell scripting for data operations Experience with version control (Git) Data profiling and quality assessment techniques Test automation frameworks and CI/CD integration Performance testing for high-volume data scenarios Preferred Qualifications Experience with cloud platforms (AWS, Azure, GCP) Knowledge of data warehousing concepts Familiarity with big data technologies (Spark, Hadoop) Understanding of data governance frameworks You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Pune. Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.