Senior Data Engineer
Location: Ratchathewi,Krung Thep Maha Nakhon,Thailand
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