Senior Data Engineer: Scalable ETL & Data Pipelines

The Great Eastern Life Assurance Company Limited; Singapore; On-site; SGD 100,000 - 130,000; Full time

Job summary

A leading life insurance firm in Singapore is seeking a skilled Data Engineer to develop and maintain robust ETL solutions. The candidate will work with cross-functional teams to ensure data quality within technical requirements. Responsibilities include designing scalable data pipelines, optimizing data models, and driving process improvements. The ideal candidate has at least 10 years of experience in data engineering, strong problem-solving skills, and proficiency in big data technologies like Hadoop and Spark.

Qualifications

• 10+ years of experience in data engineering, preferably in life insurance.
• Proven experience in ETL development and big data technologies.
• Strong team player, detail-oriented, and capable of working under pressure.

Responsibilities

• Design, develop, test, and maintain ETL pipelines.
• Collect, refine, and integrate new datasets.
• Create optimized data models aligned with architecture standards.
• Conduct code reviews and ensure delivery quality.

Skills

Data pipeline development

ETL solutions

Big data technologies

Hadoop

Spark

Hive

Cloud services (AWS, Azure, GCP)

Problem-solving

Interpersonal skills

Education

Diploma with at least 10 years’ experience

Job description

A leading life insurance firm in Singapore is seeking a skilled Data Engineer to develop and maintain robust ETL solutions. The candidate will work with cross-functional teams to ensure data quality within technical requirements. Responsibilities include designing scalable data pipelines, optimizing data models, and driving process improvements. The ideal candidate has at least 10 years of experience in data engineering, strong problem-solving skills, and proficiency in big data technologies like Hadoop and Spark.