Nawamin Road, Bangkok, Thailand
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Listing record updated: October 9, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.
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This role focuses on owning pipeline-standardization and data-quality programs for an enterprise lakehouse. The Senior Data Engineer will ship compliance gates to block non-compliant deployments, establish a data-quality framework, and build dashboards to ensure business trust. The position involves driving measurable reductions in data incidents and leading the migration of legacy pipelines to standard practices.
Design, ship, and operate a pipeline-compliance checker
Deploy a data-quality framework across production pipelines
Build and publish the Data Quality Dashboard
Establish Source Change Management agreements
Lead the migration playbook for legacy pipelines
Drive data-incident reduction through prevention
Partner with platform engineering on Event Stream schemas
Author runbooks and code review at a senior level
Bachelor's degree in Computer Science, Data Engineering, or a related discipline
5+ years designing, building, and operating production data pipelines on a major lakehouse or warehouse
Strong PySpark and SQL; understands Spark performance tuning at production scale
Deep experience with data-quality frameworks
Built and operated medallion / multi-layer lakehouse architectures
Solid Git / CI experience for data code
Comfortable defining and enforcing standards
Cloud platform experience (Azure preferred)
Streaming experience, Data modeling discipline (Kimball, Data Vault 2.0), Retail data exposure, Vendor certifications such as Databricks Data Engineer Professional or Azure Data Engineer Associate
Unknown
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