Data Engineer

Responsibilities

• Support ledger migration activities including data extraction, transformation, reconciliation, and validation
• Perform data lake clean-up, quality checks, and manage reporting pipelines
• Develop and validate SQL queries, batch jobs, and data processing logic
• Conduct regression testing on batch processes to ensure data accuracy
• Collaborate with engineering, product, and business teams to resolve data issues
• Document data mapping, validation rules, and migration exceptions
• Support production readiness and post-migration validation

Requirements

• Strong hands-on experience with SQL and large-scale data analysis
• Experience with batch processing and data reconciliation
• Working knowledge of Spark or similar distributed data processing technologies
• Experience with data lakes, reporting platforms, and data migration programs
• Ability to investigate root causes of data inconsistencies
• Understanding of data quality, controls, and auditability in enterprise environments

Preferred Qualifications

• Prior experience in financial services, banking, or ledger systems
• Experience with enterprise-scale platform transformation programs
• Exposure to operational data feeds and dashboards
• Ability to work in distributed teams across London, Bangalore, and Singapore