Data Engineer (6 months, Bank) #ESY
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Job Description
Data Analysis & Discovery
• Analyse existing tables, reports, datasets and data processing workflows from legacy data marts and manual processes.
• Understand existing scripts, transformation logic, business rules and reporting methodologies.
• Identify data lineage, dependencies and reporting requirements.
• Work closely with business users to understand current reporting processes and migration requirements. Data Migration & Source Mapping
• Perform source to target mapping between legacy systems and new enterprise data marts.
• Document field mappings, transformation logic and business rules.
• Identify data gaps and recommend improvements where appropriate.
• Develop migration specifications aligned with business requirements. Development
• Develop and enhance SQL scripts for data extraction, transformation and reporting.
• Work with Hive and Impala to support data migration activities.
• Rebuild existing reporting datasets using the new enterprise data marts.
• Support workflow automation where applicable. Testing & Validation
• Perform reconciliation between legacy and migrated datasets.
• Validate data accuracy, completeness and consistency.
• Investigate and resolve data discrepancies.
• Support User Acceptance Testing (UAT) and business validation. Documentation Prepare and maintain project documentation including:
• Source to target mapping
• Data lineage
• Technical specifications
• Data dictionaries
• Metadata documentation
• Validation and reconciliation reports
• Operational runbooks Requirements Experience
• Degree in Computer Science, Information Systems, Engineering or a related discipline.
• 3 to 5 years of relevant experience in data engineering, data migration, ETL development, reporting or data management.
• Experience within banking or financial services will be an advantage. Interested candidates, please email your resume to annasee@recruitexpress.com.sg Anna See Sing Yee CEI Reg R25157535 Recruit Express Pte Ltd EA License No: 99C4599 We regr
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