Job Description:

• Experience in developing and supporting large scale systems and applications, with strong object-oriented and core programming skills in Python
• Possess good understanding of object-oriented concepts, design patterns, concurrency and software techniques.
• Proficient in Web services, API technologies and concepts (e.g. React, Typescript, etc.).
• Experience in application integration, monitoring and 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.
• Proficient in consuming data from a variety of sources and connecting front end applications to backend services.
• 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.
• 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.

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.

SKILLS: Python, SQL, Java, Data Migration, Data Engineering, Data Security and Compliance

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