Design and develop high-performance ETL pipelines using GCP tools (Cloud Run, Cloud Functions) for major financial institutions and government agencies
Create optimized SQL queries and scalable data models that power innovative solutions for enterprise clients
Collaborate with cross-functional teams to translate business requirements into efficient data architectures
Optimize data workflows for large-scale datasets while ensuring reliability and minimal downtime
Implement robust data governance and security practices to maintain compliance and data integrity
Contribute technical expertise on data engineering best practices for Thailand's most challenging data projects
Document ETL processes and data pipelines to support team collaboration and knowledge sharing
Qualifications:
2+ years experience in data engineering with strong focus on GCP and BigQuery
Expertise in building and optimizing data pipelines, ETL processes, and workflows
Proficiency in SQL and cloud-based data technologies (BigQuery, Cloud Run, Cloud Functions)
Solid understanding of data modeling, warehousing and data lake architectures
Hands-on experience with partition/clustering optimization in BigQuery environments
Self-motivated with ability to work autonomously and take ownership of projects
Excellent problem-solving skills with passion for technology and continuous learning
Strong communication skills to collaborate effectively with technical and business stakeholders
Experience with streaming technologies like Pub/Sub or Kafka is a plus
Background in working with financial or government data systems is advantageous
Skills
Data Modeling
SQL
ETL
Job Overview
Job Type:
Hybrid
Company
Siametrics Consulting
1 active jobs
Bangkok
Industry:
Technology
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