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Data Engineer

Chubb
5-7 Years
Thailand
  • Posted 2 hours ago
  • Be among the first 10 applicants

Job Description

Job Description

  • Partner with Data Architect and Data Integration Engineer to enhance/maintain optimal data pipeline architecture aligned to published standards
  • Assemble medium, complex data sets that meet functional /non-functional business requirements
  • Design and implement internal process improvemets: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction transformation, and loading data from a wide variety of data sources big data technologies
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
  • Work with stakeholders including Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs
  • Ensuring technology footprint adheres to data security policies and procedures related to encryption, obfuscation and role based access
  • Create data tools for analytics and data scientist team members

Qualifications

What you'll bring to the role

  • Background in programming, databases and/or big data technologies OR
  • BS/MS in software engineering, computer science, economics or other engineering fields
  • Knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc
  • Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements
  • In depth knowledge of data engineering discipline
  • Extensive experience working with Big Data tools and building data solutions for advanced analytics
  • Minimum of 5+ years hands-on experience with a strong data background
  • Solid programming skills in Java, Python and SQL
  • Clear hands-on experience with database systems - Hadoop ecosystem, Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB)
  • Practical knowledge across data extraction and transformation tools - traditional ETL tools (e.g. Informatica, Ab Initio, Altryx) as well as more recent big data tools

We offer in return!

  • Global organisational stability
  • Opportunity to work with talented people from different countries and backgrounds
  • Modern and well-designed working environment
  • Comprehensive medical and well-being support for employees and their families
  • Convenient office location with easy access to BTS and MRT

More Info

Job Type:
Permanent Job
Industry:
Insurance
Function:
Data Engineering
Employment Type:
Full time

About Company

Job ID: 151758967

Last Updated: 29-07-2026 09:34:59 PM
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