Job Responsibilities
Data Engineering & Platform Development
- Design and develop scalable and reliable data pipelines.
- Build enterprise data platforms, including data warehouses, data lakes, and lakehouses.
- Implement cloud, hybrid, and on-premises data architectures aligned with enterprise standards.
ETL/ELT & Data Integration
- Lead ETL/ELT pipeline development, with Talend as a highly preferred platform.
- Integrate structured, semi-structured, and unstructured data sources.
- Implement and maintain data quality, validation, and error-handling frameworks.
Data Management & Governance
- Design and manage data storage solutions with a strong focus on object storage, data quality, and data governance.
- Implement and maintain data lifecycle management and cost-optimisation strategies.
- Ensure data lineage, traceability, and auditability.
Analytics & BI Enablement
- Engineer analytics-ready data models for reporting and self-service analytics.
- Enable BI dashboards, reports, and analytics through performant and governed data pipelines.
Security & Compliance
- Ensure compliance with government security and privacy requirements.
- Implement and maintain encryption, access controls, secure data handling practices, and system security policies.
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- Minimum 3 years of experience in enterprise data engineering roles.
- Strong hands-on data engineering experience.
- Strong SQL and Python skills.
- Experience with ETL/ELT tools, with Talend highly preferred.
- Experience with data warehouses, data lakehouses, data lakes, and object storage systems.
- Qlik Sense Enterprise integration experience is highly preferred.
- Prior CAT 1 / G50 security clearance is required.
- Previous experience delivering MINDEF projects is required.