Data Engineer (E2)

Tokio Marine Insurance Group (Asia); Kuala Lumpur; On-site; MYR 60,000 - 100,000; Full time

Job summary

Tokio Marine Insurance Group (Asia) seeks a data engineering professional to design, build and enhance enterprise data platforms, including Data Lakes and Data Warehouses, data pipelines and analytics solutions that power business decisions. You will transform raw data into meaningful insights through modern data engineering practices and automation.

You will collaborate with business and technology teams to solve real-world problems using data, participate in the full solution lifecycle, and

Qualifications

• Minimum - Degree in IT.
• Minimum 1-2 years' experience in IT software development environment.
• Minimum 1-2 years' experience in IT project management.
• Experience with data analytics and visualization platforms (Tableau, Power BI).
• Experience with databases (MS SQL, Oracle, DB2, etc).
• Programming languages: SQL scripting, C#, Python.
• ETL tools (SSIS, etc).
• Cloud and data platform technologies (AWS, Azure, and other cloud-based data services).

Responsibilities

• Design, build and enhance enterprise data platforms, including Data Lakes and Data Warehouses, data pipelines and analytics solutions.
• Transform raw data into meaningful insights using modern data engineering practices and automation.
• Collaborate with business and technology teams to solve real-world problems using data.
• Participate in the full solution lifecycle, from idea and design through development, testing, deployment and continuous improvement.
• Explore opportunities to improve data quality, performance, automation and operational efficiency.
• Gain hands-on experience with enterprise scale data platforms while developing future-ready data engineering skills.
• Contribute to the organisation's ongoing data and analytics transformation journey.

Skills

SQL scripting

C#

Python

Project management

Education

Degree in IT

Tools

Tableau

Power BI

MS SQL

Oracle

DB2

SSIS

AWS

Azure

Job description

• Design, build and enhance enterprise data platforms, including Data Lakes, Data Warehouses, data pipelines and analytics solutions that power business decisions across the organisation.
• Transform raw data into meaningful insights through modern data engineering practices and automation.
• Collaborate with business and technology teams to solve real-world problems using data.
• Participate in the full solution lifecycle, from idea and design through development, testing, deployment and continuous improvement.
• Explore opportunities to improve data quality, performance, automation and operational efficiency.
• Gain hands-on experience with enterprise scale data platforms while developing future-ready data engineering skills.
• Contribute to the organisation's ongoing data and analytics transformation journey.

Responsibilities

• Design, build and enhance enterprise data platforms, including Data Lakes, Data Warehouses, data pipelines and analytics solutions that power business decisions across the organisation.
• Transform raw data into meaningful insights through modern data engineering practices and automation.
• Collaborate with business and technology teams to solve real-world problems using data.
• Participate in the full solution lifecycle, from idea and design through development, testing, deployment and continuous improvement.
• Explore opportunities to improve data quality, performance, automation and operational efficiency.
• Gain hands-on experience with enterprise scale data platforms while developing future-ready data engineering skills.
• Contribute to the organisation's ongoing data and analytics transformation journey.

Requirements

• Minimum - Degree in IT.
• Minimum 1-2 years' experience in IT software development environment.
• Minimum 1-2 years' experience in IT project management.
• Data Analytics and Visualization Platforms (Tableau, Power BI)
• Database (MS SQL, Oracle, DB2, etc)
• Programming Languages (SQL Scripting, C#, Python)
• ETL tools (SSIS, etc)
• Cloud and Data Platform Technologies (AWS, Azure, and other cloud-based data services)