Data Engineer in Yangon

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Data Engineer

Dai-ichi Life Insurance Myanmar Ltd., Kyauktada | Yangon

Data Engineer

Dai-ichi Life Insurance Myanmar Ltd.

Data Engineer

Dai-ichi Life Insurance Myanmar Ltd.

Myanmar - Yangon

Kyauktada | Yangon

1 Post

31 Oct 2025

Experience level

Experienced Non-Manager

Job Function

IT Hardware, Software

Job Industry

Banking/ Insurance/ Microfinance

Min Education Level

Bachelor Degree

Job Type

Full Time

Job Description

An Excellent Opportunity for ...

Develop and maintain robust data pipelines that meet organizational standards for security, scalability, and performance across traditional and cloud platforms.
Enhance data integration and consistency by collaborating with cross-functional teams and supporting enterprise-wide data reliability initiatives.
Support team members in agile methodologies, continuous delivery practices, and technical upskills to boost delivery speed.
Ensure quality and compliance through precise design, code, and test reviews aligned with development standards and platform guardrails.
Provide expert-level production support by troubleshooting incidents, performing root cause analysis, and contributing to system stability and resilience.
Design, build, test, and deploy consumable data pipelines in alignment with platform guardrails and standards for delivery, risk, and security.
Collaborate with teams across DLMM to enhance data consistency and integration.
Support the Lead Data Engineer in improving data reliability and availability across the organization.
Contribute to the Pod’s delivery velocity by mentoring new team members on agile practices, continuous delivery, and team standards, while supporting upskilling of existing members.
Conduct design, code, and test reviews to ensure built-in quality and adherence to development standards.
Ensure solutions are secure, reliable, scalable, and meet usability and performance expectations.
Provide Level 3 support for production incidents, including troubleshooting and root cause analysis.
Actively participate in Scrum ceremonies, reporting on progress, dependencies, impediments, and next steps.

Open To

Male/Female

Job Requirements

Degree in a technical or analytical field with preferred focus on Data Science or Computer Science or Information Systems
Minimum 5 years of proven experience in developing data pipelines using ETL methodologies in both traditional and cloud environments.
Preferably with a good understanding of Financial Services, Insurance, or Life Insurance.
Preferably with experience in Business Intelligence (BI) tools and visualization platforms such as Power BI or Tableau, — including dashboard design, data modeling, and performance optimization.
Ability to organize/manage multiple priorities and projects coupled with the flexibility to adapt to changes in a fast-paced environment
Self-motivated team player. Must possess the ability to research and resolve issues independently while working across teams to acquire needed information
Strong communication and collaboration skills.
Results-driven with a focus on operational efficiency.
High attention to detail and analytical rigor.
Proactive learner with a growth mindset and willingness to challenge the status quo
Minimum 5 years of development experience, ideally with: Microsoft stack - SSIS, SSRS, SQL (Stored Procedures, Functions, Triggers), Azure technologies - Azure Data Factory (ADF), Azure SQL, Azure DevOps
Bonus experience in: Data Lake, Synapse, PySpark, etc.
Good command of both spoken and written English and Burmese.