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Salary
≈ $24k – $66k per year (Estimated)
Location
Hybrid (Nonthaburi, Thailand)
Seniority
Junior · 2+ years exp
Employment
Full-Time

First seen by Alion on Sep 26, 2026.

Overview
Company
Impact
Profile match
Description: At Gosoft, were the tech powerhouse behind CP ALL Grouppowering innovations for over 15,000 7-Eleven stores nationwide, including platforms like 7-Delivery. As part of our Data Science & Data Engineering team, youll work at the cutting edge of cloud-native tech and big dataespecially on Databricks Lakehouse and AWS/GCP.
Were looking for passionate engineers ready to build high-impact data systems that shape the future of retail.
Design and maintain scalable data pipelines on Databricks Lakehouse Platform.
Build ETL/ELT workflows for both structured and unstructured data.
Partner with data scientists and analysts to turn raw data into actionable insights.
Optimize performance of Spark jobs, Delta Lake, and streaming pipelines.
Lead platform monitoring, CI/CD automation, and cloud-native governance.
Apply best practices in data security, quality, and governance.
What Were Looking For.
Degree in Computer Science, Engineering, or related field.
2+ years of hands-on experience in Data Engineering / Platform Engineering.
Strong with Databricks, Apache Spark, Delta Lake.
Skilled in Python, SQL, and working in notebooks (Jupyter/Databricks).
Experience in AWS or GCP services.
Solid understanding of Lakehouse Architecture and Data Modeling.
Familiar with CI/CD, Git, and MLOps/DevOps for data platforms.
Bonus: Experience in retail tech, data privacy, and RBAC.
Why Gosoft?.
Impact: Be the backbone of the data powering 7-Elevens national operations.
Innovation: Work on modern architecture and enterprise-scale platforms.
Growth: Learn from top talent in DataOps, MLOps, and Cloud Engineering.
Flexibility: Hybrid working, continuous learning, and career advancement.
Job skills required: Architecture, Apache, Python, SQL, Automation, Backbone, DevOps, ETL
Job skills preferred: Amazon AWS, Git, Cloud Computing
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