Lead Data Engineer

About the role

Great Eastern, a well-established insurance group founded in 1908 and part of OCBC, is looking for a Lead Data Engineer to design, develop and maintain robust data pipelines and ETL solutions. The role works closely with cross-functional teams to ensure data quality, scalability and alignment with business and technical requirements, and leverages domain knowledge in insurance.

Key responsibilities

• Design, develop, test and maintain scalable ETL pipelines and data marts in the Hadoop ecosystem for planning, reporting and analytics.
• Collect, refine and integrate new datasets, and create optimized, scalable data models aligned with data architecture standards.
• Maintain documentation and data mappings across systems, and drive continuous improvement in data quality.
• Implement monitoring, logging and alerting, and coordinate testing with stakeholders for pipeline and dashboard deployment.
• Manage code in a central repository with clear branching strategies and documented commits, and coordinate production deployments while adhering to data governance policies.
• Serve as the primary data engineering contact at the stakeholder location and act as the lead for troubleshooting and optimizing pipelines.
• Take responsibility for business and regulatory compliance risks and stay up to date with industry trends and emerging threats.

Required profile

• Diploma with at least 10 years' working experience, preferably in Life Insurance.
• Proven experience in data engineering, ETL development and big data technologies.
• Strong problem-solving and interpersonal skills; meticulous, detail-oriented and able to work under pressure.
• Flexible to support during peak periods and tight deadlines.

Required skills

• Hadoop, Spark, Hive
• Cloud data services such as AWS, Azure or GCP

Applicants should not send unsolicited agency resumes to the employer.