We are seeking a skilled and detail-oriented Data Engineer to design, develop, and maintain robust data pipelines and ETL solutions. This role involves working closely with cross-functional teams to ensure data quality, scalability, and alignment with business and technical requirements
Design, develop, test, and maintain scalable ETL pipelines to meet business, technical, and user requirements.
Collect, refine, and integrate new datasets. Maintain comprehensive documentation and data mappings across multiple systems.
Create optimized and scalable data models that align with organizational data architecture standards and best practices.
Conduct code reviews and perform rigorous testing to ensure high-quality deliverables.
Drive continuous improvement in data quality through optimization, testing, and solution design reviews.
Ensure all solutions conform to big data architecture guidelines and long-term roadmap.
Implement robust monitoring, logging, and alerting systems to ensure pipeline reliability and data accuracy.
Apply best practices in data engineering to design and build reliable data marts within the Hadoop ecosystem for planning, reporting, and analytics.
Maintain and optimize data pipelines to ensure data accuracy, integrity, and timeliness.
Manage code in a centralized repository with clear branching strategies and well-documented commit messages.
Coordinate with stakeholders to ensure smooth production deployment and adherence to data governance policies.
Proactively identify and implement improvements to data engineering processes and workflows.
Architect end-to-end solutions for business analytics product (dashboards or statistical model) from the acquiring of data, contextualizing data for business analytics and integrating of product with business process.
Act as a business process owner for onboarding users and data products onto the data platform and pipelines supporting dashboards and statistical models.
Ensure adherence to development standards and perform periodic reviews to maintain pipeline performance and sustainability.
Coordinate and conduct testing with stakeholders to ensure effective deployment of data pipelines and dashboards.
Monitor data pipelines continuously and collaborate with stakeholders to troubleshoot and optimize performance.
Bachelor Degree in Computer Engineering, Computer Science, Mathematics, Software Engineering, equivalent fields or proven experience in data engineering
A minimum 5 years of experience in Business Intelligence / Data Analytics field. An analytics practitioner with proven experience in delivering data-driven business solution and data-driven process augmentation
Proficiency in tools and platforms such as Hadoop, Spark, Hive, and cloud data services (e.g., AWS, Azure, GCP)
Hands-on experience with large volumes of data using SQL, Spark, Hadoop, or other big data ecosystems is preferred
Proven experience in data engineering, ETL development, and big data technologies
Stakeholder Management – Conversant in Business terms and ability to resolve and explain data analytics issues with Business users and other stakeholders
A strong team player who is meticulous, detail-oriented, and capable of performing under pressure
Possesses strong problem-solving and interpersonal skills
Possesses strong communication skills with the ability to bridge technical and business domains, and proactive problem-solving
Committed, dependable, and adaptable with the flexibility to support during peak periods and tight deadlines
Demonstrate high integrity, accountability, and a collaborative mindset
Takes initiative to improve current state of things and embrace change
Understanding of banking, insurance and financial services is preferred
How You Succeed
Champion and embody our Core Values in everyday tasks and interactions.
Demonstrate high level of integrity and accountability.
Take initiative to drive improvements and embrace change.
Take accountability of business and regulatory compliance risks, implementing measures to mitigate them effectively.
Keep abreast with industry trends, regulatory compliance, and emerging threats and technologies to understand and highlight potential concerns/ risks to safeguard our company proactively.
Who We Are
Founded in 1908, Great Eastern is a well-established market leader and trusted brand in Singapore and Malaysia. With over S$100 billion in assets and more than 16 million policyholders, including 12.5 million from government schemes, it provides insurance solutions to customers through three successful distribution channels – a tied agency force, bancassurance, and financial advisory firm Great Eastern Financial Advisers. The Group also operates in Indonesia and Brunei. The Great Eastern Life Assurance Company Limited and Great Eastern General Insurance Limited have been assigned the financial strength and counterparty credit ratings of 'AA-' by S&P Global Ratings since 2010, one of the highest among Asian life insurance companies. Great Eastern's asset management subsidiary, Lion Global Investors Limited, is one of the leading asset management companies in Southeast Asia. Great Eastern is a subsidiary of OCBC, the longest established Singapore bank, formed in 1932. It is the second largest financial services group in Southeast Asia by assets and one of the world's most highly-rated banks, with an Aa1 rating from Moody's and AA- by both Fitch and S&P. Recognised for its financial strength and stability, OCBC is consistently ranked among the World's Top 50 Safest Banks by Global Finance and has been named Best Managed Bank in Singapore by The Asian Banker.
To All Recruitment Agencies
Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.
Work Locations
SG-GE Centre
Job
Data and AI