Job Overview
We are looking for a Data Quality Lead to support a Data Warehouse migration project (Netezza). This role will lead data validation and reconciliation activities to ensure completeness, accuracy, and consistency of migrated data.
Key Responsibilities
- Lead and manage a team of 3–4 data quality analysts/engineers
- Define and implement data validation and reconciliation rules
- Perform data quality checks:
o Record count validation
o Checksums / hash totals
o Field-level validation
- Compare source and target data to identify discrepancies
- Investigate and resolve data issues with ETL and business teams
- Support SIT, UAT, and post-migration validation activities
- Prepare data quality reports and track issues to closure
- Ensure data meets agreed quality standards before sign-off
Requirements
- 3–4 years of experience as a Data Engineer / Data Quality role
- Experience leading a small team (3–4 members)
- Strong experience with databases (Oracle, Netezza, MS SQL)
- Strong SQL skills for data validation and analysis
- Experience in data validation, reconciliation, and data quality checks
- Experience in Data Warehouse / data migration projects
- Familiar with handling large datasets and data comparison techniques
Nice to Have
- Banking or financial services experience
- Experience working in vendor/project-based environments
- Exposure to data quality tools or frameworks
- Basic scripting knowledge (Python)
- Understanding of data governance and data quality standards
Pay: RM5,602.93 - RM15,890.31 per month
Benefits:
- Health insurance
- Maternity leave
- Opportunities for promotion
- Parental leave
- Professional development
- Work from home
Work Location: Hybrid remote in Kuala Lumpur (Kuala Lumpur)