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Data Operations Engineer
July 1, 2026
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Location
Bangkok
Job Type
Contract
Experience Required
3 - 5 Years
Salary
50,000 - 70,000
Job description
Monitor data pipelines, ETL processes, batch jobs, and data platform operations.
Perform data validation, reconciliation, and root cause analysis.
Develop simple scripts or automation to improve operational efficiency.
Monitor system performance, logs, and alerts to ensure platform stability.
Troubleshoot production issues, pipeline failures, and data quality problems.
Support deployment, system maintenance, and operational activities.
Work closely with Data Engineers, Developers, Infrastructure, DevOps, and Business teams.
Qualifications
At least 3 years of experience in Data Operations, Data Engineering, ETL Support, or Production Support.
Strong SQL skills with experience in data validation and troubleshooting.
Experience with Airflow, Azure Data Factory, Informatica, Databricks, or similar ETL tools.
Good understanding of ETL/ELT, Data Pipelines, Data Warehouse, and Data Lake.
Familiar with monitoring, logging, incident management, and root cause analysis.
Python, Linux/Shell Scripting, Azure, AWS, or Microsoft Fabric is a plus.
Good communication and problem-solving skills.
Ref. Code: CTR01
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