Senior Data Engineer

How Will You Make An Impact?

You Will Lead The Development Of Scalable Data Platforms And Pipelines That Power Business Intelligence And Data-Driven Decisions Across The Organization. Your Work Will Ensure Reliable, Secure, And High-Performance Data Solutions While Driving Technical Excellence, Innovation, And Continuous Improvement Across The Data Engineering Team

What You Will Do?

• Lead The Design, Development, And Optimization Of Scalable ETL/ELT Pipelines And Data Platforms
• Establish Data Engineering Standards, Best Practices, And Architecture Guidelines
• Ensure Data Quality, Integrity, Security, And Governance Across The Data Ecosystem
• Design And Oversee Databases, Data Warehouses, And Data Lake Architectures
• Optimize Data Storage, Processing Performance, Scalability, And Cost Efficiency
• Drive Platform Modernization And Cloud Data Initiatives
• Establish Monitoring, Alerting, And Observability For Data Pipelines And Platforms
• Lead Root Cause Analysis And Resolve Complex Data Issues
• Continuously Improve Data Platform Reliability, Performance, Scalability, And Operational Efficiency
• Provide Technical Leadership And Mentor Data Engineers And Cross-Functional Teams
• Collaborate With Data Analysts, Data Scientists, And Business Teams To Support Analytics, Reporting, And AI/ML Initiatives
• Review Technical Solution Designs To Ensure Alignment With Business Objectives
• Evaluate Emerging Technologies, Tools, And Best Practices In Data Engineering
• Drive Automation, DataOps Practices, And Continuous Improvement Initiatives

What You Will Need?

• Bachelor's Degree In Computer Science, Information Systems, Or Related Field
• At Least 5 Years Of Experience In Data Engineering Or Related Field
• Experience With Big Data Technologies
• Strong Programming Skills In Python And SQL
• Experience With Google Cloud Platform (GCP), Including BigQuery, Cloud Storage, Cloud Run, Cloud Functions, Pub/Sub, Cloud Composer (Airflow), And IAM
• Strong Knowledge Of Relational And Non-Relational Databases Such As SQL Server, PostgreSQL, MongoDB, And BigQuery
• Good Understanding Of Data Structures And Their Application In Data Engineering
• Experience With Data Pipeline Tools Such As Apache Airflow Or dbt Is A Plus
• Familiarity With Cloud Platforms Such As GCP, Azure, Or AWS
• Understanding Of CI/CD Workflows And DevOps Practices
• Knowledge Of Data Governance And Security Best Practices
• Experience With AI-Driven Or Low-Code Automation Tools Such As Knime, n8n, Or Make Is A Plus
• Strong Analytical And Problem-Solving Skills
• Experience Designing Scalable And Secure Data Architectures
• Strong Collaboration And Stakeholder Management Skills
• Leadership Experience With The Ability To Mentor Team Members
• Strong Sense Of Ownership And Accountability
• Fluent In Thai
• English Proficiency Is An Advantage

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