Role Summary
We are looking for experienced Data Engineers / Data Analysts to support a ledger migration and data clean-up initiative across the data lake, reporting and downstream feeds. The role will involve working on large-scale batch processing, data validation, regression testing and migration readiness activities within a financial services environment.
Key Responsibilities
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Support ledger migration activities, including data extraction, transformation, reconciliation and validation.
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Work on data lake clean-up, data quality checks, reporting pipelines and downstream feeds.
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Develop, enhance and validate SQL queries, batch jobs and data processing logic.
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Perform regression testing on batch processes to ensure data accuracy and completeness before and after migration.
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Collaborate with engineering, product and business teams to understand migration requirements and resolve data issues.
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Document data mapping, validation rules, test results and migration exceptions clearly.
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Support production readiness, defect triage and post-migration validation activities.
Required Skills and Experience
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Strong hands-on experience with SQL and data analysis across large datasets.
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Experience with batch processing, batch regression testing and data reconciliation.
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Working knowledge of Spark or similar distributed data processing technologies.
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Experience working with data lakes, reporting platforms, feeds and data migration programmes.
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Ability to identify data inconsistencies, investigate root causes and support remediation.
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Strong understanding of data quality, controls, validation and auditability in enterprise environments.
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Good communication skills with the ability to work across engineering, business and product stakeholders.
Preferred Experience
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Prior experience in financial services, banking, ledger systems or regulatory data environments.
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Experience supporting enterprise-scale migration, modernisation or platform transformation programmes.
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Exposure to reporting, dashboards, data views and operational data feeds.
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Ability to work in distributed teams across London, Bangalore and Singapore.
