Data Engineer

Posted 12 Hours Ago
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Bangkok, Phra Nakhon, Bangkok, THA
In-Office
Senior level
Insurance
The Role
Design, build, and maintain scalable data pipelines and infrastructure for extraction, transformation, and loading. Collaborate with stakeholders to deliver analytics tools, optimize data delivery, enforce security and retention policies, and support data scientists and analytics teams.
Summary Generated by Built In
  • 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

Skills Required

  • Background in programming, databases and/or big data technologies OR BS/MS in software engineering, computer science, economics or related engineering field
  • Knowledge of data and analytics frameworks supporting data lakes, warehouses, marts, and reporting
  • Define data retention policies, monitor performance, and recommend infrastructure changes
  • In-depth knowledge of data engineering discipline
  • Extensive experience 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
  • Hands-on experience with database systems: Hadoop ecosystem, cloud platforms (AWS, Azure, Google Cloud), in-memory DBs (SAP HANA, Hazelcast), RDBMS (Teradata, SQL Server, Oracle), NoSQL (Cassandra, MongoDB, DynamoDB)
  • Practical knowledge of data extraction and transformation tools (Informatica, Ab Initio, Alteryx) and modern big data ETL tools
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The Company
HQ: Zürich
27,791 Employees

What We Do

Chubb is the world’s largest publicly traded property and casualty insurance company. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs 31,000 people worldwide. Additional information can be found at: chubb.com.

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