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Data Engineer (Python_Java_TypeScript_React_DataMigration_ETL_MSSQL)

MALTEM ASIA PTE. LTD.

Singapore

On-site

SGD 60,000 - 90,000

Full time

Today
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Job summary

A leading technology consulting firm in Singapore is seeking a Data Engineer to manage Data Recon processes for a Wealth Management client. The ideal candidate has 3-8 years of experience in large-scale systems and is proficient in Python, Java, and TypeScript, along with strong problem-solving skills. Responsibilities include data extraction, transformation, and ensuring data integrity during migration processes. This role offers competitive compensation and a collaborative work environment.

Qualifications

  • Possess a degree in Computer Science/Information Technology or related fields.
  • 3 to 8 years of experience in developing and supporting Large Scale Systems and applications.
  • Proficient in Python, Java, TypeScript.

Responsibilities

  • Manage and execute Data Recon from legacy systems to new platforms.
  • Collaborate with business and IT teams to plan data recon timelines and strategies.
  • Design, develop and execute data recon scripts.
Job description

Maltem Asia is seeking a Data Engineer for a Wealth Management Client based in Singapore.

Summary
  • The successful candidate will manage and execute Data Recon from legacy systems to new platforms, ensuring accuracy, integrity and minimal disruptions to business operations.
  • He/she is expected to have hands‑on experience in ETL processes, database management, and data quality validation, along with strong problem‑solving skills to troubleshoot complex data issues.
Responsibilities
  • Planning and Analysis
  • Assess existing data sources, data structures and dependencies.
  • Understand business requirements and recon scope.
  • Collaborate with business and IT teams to plan data recon timelines and strategies (e.g. cutover plan, rollback plan).
  • Data Extraction, Transformation and Loading
  • Design, develop and execute data recon scripts.
  • Map, transform and cleanse data to meet the target system’s requirements.
  • Perform incremental and full data recon with minimal downtime.
  • Ensure data integrity, consistency and accuracy.
  • Testing and validation
  • Conduct trial recon and validate data accuracy and completeness.
  • Investigate and fix any data issues.
  • Implement error handling, rollback plans, and data reconciliation processes.
  • Performance and Optimization
  • Optimize data recon processes for performance and large data volumes.
  • Monitor data transfer performance and resolve bottlenecks.
  • Ensure the migration process adheres to data security and compliance policies.
Must Have Skillsets
  • Possess a degree in Computer Science/Information Technology or related fields.
  • 3 to 8 years of experience in developing and supporting Large Scale Systems and applications, with strong object-oriented and core programming skills:
  • Python
  • Java
  • TypeScript
  • Possess good understanding of object-oriented concepts, design patterns, concurrency and software techniques.
  • Proficient in Web services, API technologies and concepts:
  • React
  • TypeScript
  • Javascript
  • Proficient in consuming data from a variety of sources and connecting Frontend applications to backend services.
  • Experience in:
  • Application Integration
  • Monitoring & Control with exposure in Automated Tests.
  • Proven experience in Data Migration or ETL Engineering.
  • Strong knowledge of SQL and relational databases:
  • Oracle
  • MySQL
  • SQL Server
  • PostgreSQL
  • Experience with Data Validation, Reconciliation, and Quality Assurance.
  • Good in analyzing requirements, creating technical specifications and using test cases and scenarios.
  • Experience with software development tools (e.g. Github, JIRA).
  • Good understanding of full System Development Life Cycle. (SDLC)
  • Ensure compliance with IT security standards, policies and procedures.
  • Strong problem solving, analytical, written and communication skills.
  • Ability to work collaboratively in cross‑functional teams under tight deadlines.
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