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

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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