Data Quality Engineer

• Teradata Studio
• Python
• Microsoft Excel
• Complex SQL
• PL/SQL (Views)
• Aggregate Functions (Advanced)
• Jira
• Apache Hive
• Impala
• Data Quality Testing
• English Communication
• Business Communication
• Good Communication Skills
• Good Analytical Thinking Skills

Perform Tier 1 Data Quality Testing by validating data completeness, consistency, and integrity through manual verification against business and technical documentation.

Execute Tier 2 Data Quality Testing by validating data transformation logic, business rules, and data processing outcomes across the data pipeline.

Investigate and troubleshoot data quality issues, identifying root causes and collaborating with technical teams to ensure accurate data delivery.

Coordinate with regional teams in Malaysia and Singapore to resolve cross-country data quality issues, align validation approaches, and support operational activities.

Develop and enhance Python automation scripts to streamline testing processes, reduce manual effort, and improve testing efficiency for Hive and Impala environments.

Validate data extraction, transformation, and loading (ETL) results by executing complex SQL queries and comparing outputs against expected business rules.

Analyze testing results, document findings, and provide clear recommendations for issue resolution and process improvement.

Maintain testing documentation and support continuous improvement initiatives to strengthen data quality processes and automation capabilities.