Data Engineer, Analytics Enablement Data Engineer, Analytics Enablement …

Great Eastern Life Assurance (Malaysia) Berhad
in Kuala Lumpur, Kuala Lumpur, Malaysia
Permanent, Full time
Be the first to apply
Competitive
Great Eastern Life Assurance (Malaysia) Berhad
in Kuala Lumpur, Kuala Lumpur, Malaysia
Permanent, Full time
Be the first to apply
Competitive
Data Engineer, Analytics Enablement
Job Description
Job ID: 002350

Job Purpose

Reporting to the Manager of Analytics Enablement, this role is responsible for managing the centralized data lake infrastructure and contextualizing data sets to support the implementation of analytics projects aimed at improving business performance through data driven insights.

The Job
  • Ensure adequate data infrastructure is in place to support the availability and efficient blending of traditional, unstructured and also third party data for various analytics projects;
  • Work closely with various business owners to prepare contextual data sets to support downstream applications, such as Tableau and SAS
  • Design, develop, document and implement end-to-end data pipelines and data integration processes, both batch and real time;
  • Perform data analysis, data profiling, data cleansing, data lineage, data mapping and data transformation;
  • Develop ETL / ELT jobs and workflows, and deployment of data solutions;
  • Monitor, recommend, develop and implement ways to improve data quality including reliability, efficiency and cleanliness to optimize and fine tune processes;

Recommend, execute and deliver best practices in data management and data lifecycle processes, including modular development of data processes, coding and configuration standards, error handling and notification standards, auditing standards, and data archival .

Job Requirements
Our Requirements


  • Bachelor's Degree in IT, Computer Science or Engineering;
  • At least 5 years of experience in data warehouse, operational data store and large scale data architecture;
  • Familiar with Big data and Hadoop technologies (e.g. Hive, Spark, Sqoop, Kafka, Spark Streaming) and SQL Data Warehouse;
  • Hands-on development experience with Talend ETL/ELT (or similar tools such as SSIS) to transform complex data structure in a multidata source environment;
  • Experienced in handling and processing different types of data (structured, semi-structured and unstructured)
  • Experience in insurance or financial services is a plus;
  • Project management skill is a plus.
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