General Information
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.
Responsibilities
- 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
Requirements
- 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
Information will be provided
Salary
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