Data Engineer (1 Year Contract) in Yangon

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ဤအလွဲသုံးစားမှုကို တိုင်ကြားရန် X

သင့်အီးမေးလ်လိပ်စာ မမှန်ကန်သော အီးမေးလ်လိပ်စာ ထည့်သွင်းပါ

ကြော်ငြာကို တိုင်ကြားရသည့် အကြောင်းအရင်း ရွေးပါ

ကြော်ငြာမှားယွင်းနေသည်ဟု ထင်ရသည့် အကြောင်းကို ဖော်ပြပါ ထည့်သွင်းပါ

ပို့မည် မလုပ်တော့ပါ

Data Engineer (1 Year Contract)

Daiichi Life Insurance Myanmar Ltd

ဗဟန်း | ရန်ကုန်တိုင်း

1 ဦး

ရန်ကုန်တိုင်း

ဒီနေရာမှာ လျှောက်ပါ

ကုမ္ပဏီ အချက်အလက်များ ဤကုမ္ပဏီမှအလုပ်များ 18

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Data Engineer (1 Year Contract)

Daiichi Life Insurance Myanmar Ltd, ဗဟန်း | ရန်ကုန်တိုင်း

ဒီနေရာမှာ လျှောက်ပါ

Data Engineer (1 Year Contract)

Daiichi Life Insurance Myanmar Ltd

ရန်ကုန်တိုင်း

ဒီနေရာမှာ လျှောက်ပါ

Data Engineer (1 Year Contract)

Daiichi Life Insurance Myanmar Ltd

Myanmar - ရန်ကုန်တိုင်း

ဗဟန်း | ရန်ကုန်တိုင်း

1 ဦး

ဒီနေ့

ဒီနေရာမှာ လျှောက်ပါ

လုပ်သက်အဆင့်

Experienced Non-Manager

အလုပ်အမျိုးအစား

IT Hardware, Software

အလုပ်၏လုပ်ငန်းအမျိုးအစား

ဘဏ်လုပ်ငန်း/အာမခံလုပ်ငန်း/အသေးစားချေးငွေလုပ်ငန်း

အနိမ့်ဆုံး ပညာအရည်အချင်း

Bachelor Degree

အလုပ်ချိန်အမျိုးအစား

Full Time

လုပ်ဆောင်ရမည့်တာဝန်များ

A Fantastic 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.

ဘယ်သူ့အတွက်လဲ

Male/Female

လိုအပ်သောအရည်အချင်း

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.