Data Migration Tech BA (Core Banking)

Accenture Southeast Asia; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Accenture Southeast Asia in Kuala Lumpur seeks a Data Engineer to develop, test, and maintain ETL pipelines for the assigned data domain, ensuring accuracy, performance, and auditability in line with functional specs.

You will implement transformation and cleansing logic per migration standards, conduct unit and integration tests, and maintain technical artefacts such as data dictionaries and runbooks. Collaboration with the Sub Lead and analysts is essential.

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 or financial services experience is 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

ETL tools

SQL

Python/PySpark

Azure Data Factory

Data profiling

Banking domain

Education

Bachelor's degree in Computer Science / IT / related engineering

Tools

Informatica

DataStage

Job description

• 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

Key Responsibilties:

• 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

Technical Expertise Required

• Proficiency in at least one ETL or data integration tool such as Informatica, DataStage, Python/PySpark, or Azure Data Factory
• Strong SQL skills with experience working with relational databases such as Oracle, SQL Server, or DB2, preferably in a banking context
• Solid understanding of the data migration lifecycle from extraction through to reconciliation and cutover
• Familiarity with data profiling techniques, data quality frameworks, and reconciliation methodologies
• Exposure to core banking platforms such as Temenos, Flexcube, Finacle, or Mambu is advantageous

Required Qualifications:

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