Bangchak Corporation Public Company Limited
[Bangchak] Senior Data Engineer
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Bangkok, Thailand
Work mode:
Onsite
Published on:
8 September 2026
What they need
Job Brief:
The Senior Data Engineer position plays a key role in designing, developing, and managing cloud-based data platforms, as well as creating data structures for high-level data analysis, and works with business and technical teams to ensure that data management is appropriate and supports organizational goals.
Job Responsibilities:
Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure)
Oversee the development and management of complex ETL/ELT processes for data ingestion from a wide array of sources
Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis
Leverage the Python programming language for automation, scripting, and the development of data processing frameworks
Administer and optimize cloud-based data warehouse solutions and associated data lakes
Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions
Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization
Qualifications:
Requirements and Skills:
Bachelor’s degree or higher in Computer Science, Information Technology, Engineering, or a related field
At least 5 years of experience working in a data engineering or related position
Proficient in advanced SQL, including query optimization and performance tuning
Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure)
Skilled in using Python for data processing and advanced pipeline development
Experienced with tools and technologies for data ingestion, connectivity, and management
Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture
Excellent analytical and problem-solving skills
Communication and teamwork skills
Ability to plan and manage tasks effectively
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