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About the Job
As a hybrid Data Engineer, you will be responsible for building robust data pipelines, managing data versioning, automating Machine Learning (ML) model lifecycles, and scaling infrastructure in production environments. You will act as a force multiplier, translating data science experiments into reliable, highly available, production-grade applications while maintaining robust ETL pipelines.
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How you succeed
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.
Job ID: 150603411
Skills:
data engineering , Java, Data Architecture, Kafka, Data Quality, RDBMS, Python, data pipelines, Data Processing, data science techniques, object storage services, cloud stack, data lake systems, DataOps, REST endpoints
Skills:
BigQuery, Google Cloud Platform, Google Analytics, Sql, Python, Etl
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