Job
Description
Position: Data Quality Testing Engineer or Data Engineer Role Summary: Manage projects focused on Data Quality Management and Testing for banking clients, ensuring data accuracy, compliance, and testing velocity Key Responsibilities: Collaborate with cross-functional teams to drive successful project / test outcomes Measure and track each activity and highlight in case of misalignment or project off-track Technical Skills: RDBMS Proficiency: Expertise in relational database management systems (eg, SQL Server, Oracle) Ability to write complex SQL queries and handle data migrations use cases Azure DevOps or Project Management tools: Experience with Azure DevOps for CI/CD pipelines, project tracking, and version control (Git) Knowledge of working in sprints, user stories, and release cycles Data Quality Tools: Familiarity with data quality and governance tools such as Informatica, Talend, or similar platforms Understanding of data profiling, cleansing, and validation techniques Migration testing techniques and best practices ETL Processes: Knowledge of Extract, Transform, Load (ETL) processes, data modelling and ensuring clean data pipelines for analytical reporting Banking IT Systems (preferred): Exposure to core banking systems, payment gateways, or loan origination software Data Governance: Understanding of data governance frameworks, metadata management, and master data management (MDM) Automation Testing: Experience with automation tools (eg, Selenium, Apache JMeter) for performance testing, API testing, and script driven data validation Qualifications: Bachelor s degree in IT, Computer Science, or related field Experience: Minimum of 2-3 years in data quality management and testing roles, preferably within banking or financial institutions Ability to design testing plan and handling multiple stakeholders within the project timeline Interpersonal Skills: Excellent communication skills, ability to speak about problems
