Data Quality refers to the accuracy, completeness, consistency, and reliability of data. High-quality data is essential for making informed decisions and ensuring efficient operations. A Data Quality Engineer is responsible for maintaining and improving the quality of data. In this role, you will analyze data from various systems, identify incomplete or inconsistent records, and support efforts to resolve data issues. The main goal is to ensure that the data used across the bank is trustworthy and ready for use. Currently studying or recently graduated in Computer Science, Information Technology, Mathematics, Statistics, or a related fieldBasic knowledge of SQL (SELECT, JOIN, GROUP BY, filtering)General understanding of databases (Oracle, PostgreSQL, or similar)Strong analytical skills and attention to detailEagerness to learn and ability to work in a team environment Gain hands-on experience building innovative fintech solutionsSkills-Based Training: Enhance your skills and get exposure to the latest tools and languages used in the financial technologyProfessional Development: Attend technical talks by senior Data Quality engineersFun: Participate in social activities, community events, and networking sessions. Build meaningful relationships with your peers and colleaguesExposure: Discover how your knowledge are applied in a real-world professional setting, and gain insights into the fintech industry's dynamic environment Assist in preparing and executing data quality checksSupport the creation and validation of business rules for data qualityParticipate in data profiling and data cleansing processesCollaborate with the Data Governance team to ensure data accuracy and complianceUse SQL queries to analyze data and identify anomaliesPrepare reports on data quality issues and improvementsAssist in documenting and describing data elements in the Data Glossary
