Senior Data Engineer

About the role

Job Description

We are looking for an experienced Senior Data Engineer to design, develop, maintain, and optimize the company's data infrastructure, data pipelines, and data marts. The role will be responsible for integrating data from multiple business systems, including ERP, Mobile App, POS, Finance, and Microsoft Power Platform environments, and transforming the data into reliable, governed, and analytics-ready datasets. The Data Engineer will work closely with Business Intelligence, IT, Application Development, Finance, HR, and business teams to understand data requirements, establish data models, improve data quality, and support reporting and analytics initiatives.

1. Data Pipeline Development & Integration

• Design, develop, and maintain scalable ETL/ELT data pipelines from various source systems.
• Integrate data from multiple business systems
• Develop automated processes for data extraction, transformation, validation, and loading.
• Handle data integration through APIs, databases, files, and other data sources .
• Monitor pipeline performance and resolve data pipeline failures and data inconsistencies.

2. Data Warehouse & Data Mart Development

• Design and develop data warehouse and data mart structures to support BI and analytical requirements.
• Develop appropriate fact and dimension tables using dimensional modelling principles.
• Design data models that support reporting across different business functions.
• Build reusable and well-structured analytical datasets.

3. Data Quality & Validation

• Establish data validation and reconciliation processes between source systems and analytical databases.
• Develop automated data quality checks where appropriate.
• Work with system owners and application teams to identify and resolve root causes of data issues.

5. Data Architecture & System Integration

• Understand existing system architecture and data flows across business applications.
• Analyze database structures and identify integration requirements for new and existing systems.
• Work with application development teams to understand changes to source-system databases and APIs.
• Assess the impact of application/database changes on downstream pipelines, data marts, and reports.

6. BI & Analytics Support

• Work closely with BI/Data Analysts to provide reliable datasets for dashboards and reports.
• Translate analytical requirements into technical data solutions.
• Ensure analytical datasets are refreshed accurately and according to agreed schedules.

7. Operational Support

• Establish appropriate monitoring and alerting for critical pipelines.
• Participate in incident investigation and root-cause analysis.
• Follow coding, deployment, version-control, and change-management standards.

Education

• Bachelor's degree in C omputer science, Information Technology, Data Engineering, Software Engineering, Information Systems , or a related field.
• Relevant professional certifications are an advantage.

Professional Experience

• 2–4+ years of experience in Data Engineering, ETL/ELT, Data Warehousing, BI Engineering, or a related field.
• Proven experience developing and maintaining production-grade data pipelines.
• Experience working with multiple source systems and integrating data from different technologies.
• Experience in developing data warehouses/data marts and analytical data models.

SQL & Databases

• Strong SQL skills with the ability to write complex queries and optimize query performance.
• Strong understanding of relational database concepts.

Experience with one or more of

• MySQL
• PostgreSQL
• SQL Server
• Other relational databases

Data Engineering

• Strong understanding of ETL/ELT concepts and data pipeline architecture .

Experience with data orchestration and scheduling tools such as

• Apache Airflow
• Azure Data Factory
• AWS Glue

Cloud

• Experience working with AWS or another major cloud platform.
• Knowledge of cloud-based data storage and processing services is preferred.
• AWS experience with services such as S3, RDS, Glue, Lambda, Redshift, or equivalent is an advantage.

Programming

• Proficiency in Python for data processing, automation, and pipeline development.
• Knowledge of shell scripting is an advantage.

Soft Skills

• Strong analytical and problem-solving skills.
• Able to understand both business requirements and technical data structures .
• Good communication skills and ability to work with both technical and non-technical stakeholders.
• Strong attention to data accuracy and detail.

Work Location

• Hlaingthaya Township, Yangon Region, Myanmar

How to apply: Apply via Yoma Recruit, the Yoma Group's official career portal: open the vacancy, sign in or create an account, then click "Apply" and submit your CV. Apply here: https://yomarecruit.com/jobs/730912952449471