Data Migration Tech BA - ETL & Data Quality

Accenture PLC; Kuala Lumpur; On-site; MYR 60,000 - 100,000; Full time

Job summary

Accenture in Malaysia is seeking a data engineer to develop, test and maintain ETL pipelines for the assigned data domain. You will implement transformation logic, perform profiling, and ensure data quality and migration readiness within the established standards.

The role involves collaborating with the Sub Lead, reviewing colleagues' work, and supporting cutover activities during dry runs and live events. Experience in banking data is a plus.

Qualifications

• Minimum 3 years of experience in data engineering, ETL development, or data migration delivery.
• Bachelor’s degree in Computer Science, Information Technology, or related engineering discipline; banking experience advantageous.
• Demonstrated ability to deliver technical workstreams independently within defined standards and timelines.
• Early experience reviewing or guiding junior team members is a plus.

Responsibilities

• Develop, test, and maintain ETL pipelines for the assigned data domain or country, ensuring accuracy, performance, and auditability in line with approved functional specifications
• Implement data transformation and cleansing logic, adhering to defined migration standards and technical guidelines set by the Sub Lead
• Conduct unit and integration testing of migration pipelines, document defects, and support resolution in a timely manner
• Maintain technical artefacts including ETL specifications, data dictionaries, and technical runbooks for the assigned scope
• Execute source system data profiling to identify and document anomalies, nulls, duplicates, and referential integrity issues
• Implement data quality checks and reconciliation controls within ETL pipelines, investigating and resolving reconciliation breaks identified during dry runs and UAT
• Participate in performance testing of migration pipelines, supporting optimisation of queries and transformation logic for throughput
• Contribute to the technical cutover runbook and execute assigned tasks during dry-run and live cutover windows
• Support rollback procedures and post-migration technical validation for the assigned domain
• Review work produced by Analysts, providing constructive feedback and guidance to support their development
• Escalate technical risks and blockers to the Sub Lead promptly, with clear documentation of the issue and impact

Skills

Informatica

DataStage

Python/PySpark

Azure Data Factory

Education

Bachelor’s degree in Computer Science / IT

Banking/financial services experience advantageous

Job description

Accenture in Malaysia is seeking a data engineer to develop, test and maintain ETL pipelines for the assigned data domain. You will implement transformation logic, perform profiling, and ensure data quality and migration readiness within the established standards.

The role involves collaborating with the Sub Lead, reviewing colleagues' work, and supporting cutover activities during dry runs and live events. Experience in banking data is a plus.