Data Engineer

Cognizant; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A technology services company based in Singapore is seeking a skilled professional to design data architectures and develop APIs for system integration. This role focuses on building efficient ETL processes and ensuring data quality and compliance. The ideal candidate will collaborate with cross-functional teams and leverage their expertise in data protection measures and performance optimization.

Qualifications

• Experience in designing and implementing data architectures.
• Knowledge of data protection measures and compliance.
• Ability to collaborate effectively with cross-functional teams.

Responsibilities

• Design and implement data models for social service integration.
• Build ETL processes for data migration and synchronization.
• Develop and maintain APIs for system integrations.

Skills

Data Model Design

ETL Processes

APIs Development

Data Quality Validation

Performance Monitoring

Tools

SQL

ETL Tools

API Management Tools

Job description

Overview

Data Architecture & Pipeline Development: Design and implement data models for social service integration (Client360, Household360).

Data Architecture & Pipeline Development

• 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.