Data Engineer

Cognizant; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading technology company in Singapore is seeking a skilled professional to design data models and develop APIs for integration. The ideal candidate will have experience in data security, ETL processes, and performance optimization. The role requires collaboration with cross-functional teams in an Agile environment. This position offers an opportunity to contribute to innovative data solutions.

Qualifications

• Experience in designing data models for integrations.
• Proficiency in building ETL processes.
• Knowledge of API design and documentation.

Responsibilities

• Design and implement data models for integration.
• Build ETL processes for data migration.
• Develop APIs for system integrations.
• Implement data protection measures.
• Optimize query performance.

Skills

Data modeling

ETL processes

API development

Data security

Performance optimization

Agile methodologies

Technical documentation

Job description

Data Architecture & Pipeline Development

• Design and implement data models for social service integration (Client360, Household360)
• Build ETL processes for legacy system migration and real-time agency data synchronization
• Develop and maintain batch and real-time data pipelines for cross-agency data flow
• Implement data quality validation frameworks and monitoring systems

Integration Development & API Management

• Design and develop APIs for system integrations (OneCV, CaseConnect, ComLink+)
• Create and maintain documentation for all integration points and APIs
• Ensure API performance, security, and scalability

Data Security & Compliance

• Implement data protection measures including field-level encryption and access controls
• Ensure compliance with IM8 standards and security requirements
• Maintain audit trails and data masking for sensitive information
• Monitor and enforce data classification policies

Performance Optimization & Monitoring

• Optimize query performance and batch processing efficiency
• Monitor and tune real-time data synchronization
• Implement performance monitoring dashboards
• Maintain system reliability and uptime metrics

Cross-Team Collaboration

• Work with business analysts, solution architects, and frontend developers
• Participate in Agile ceremonies and sprint planning
• Conduct code reviews and pair programming sessions
• Provide technical guidance on data integration matters

Quality Assurance & Documentation

• Develop and maintain comprehensive technical documentation
• Implement automated testing for data transformations and integrations
• Ensure data accuracy and validation across systems
• Create and maintain troubleshooting guides and procedures