Data quality intern

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 field

Basic knowledge of SQL (SELECT, JOIN, GROUP BY, filtering)

General understanding of databases (Oracle, PostgreSQL, or similar)

Strong analytical skills and attention to detail

Eagerness to learn and ability to work in a team environment

Gain hands-on experience building innovative fintech solutions

Skills-Based Training: Enhance your skills and get exposure to the latest tools and languages used in the financial technology

Professional Development: Attend technical talks by senior Data Quality engineers

Fun: Participate in social activities, community events, and networking sessions. Build meaningful relationships with your peers and colleagues

Exposure: 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 checks

Support the creation and validation of business rules for data quality

Participate in data profiling and data cleansing processes

Collaborate with the Data Governance team to ensure data accuracy and compliance

Use SQL queries to analyze data and identify anomalies

Prepare reports on data quality issues and improvements

Assist in documenting and describing data elements in the Data Glossary

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