Data Engineer (Project-Based)

Responsibilities

• 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.

Qualifications

• 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.