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[Bangchak] Senior Data Engineer

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Onsite

[Bangchak] Senior Data Engineer

Bangchak Corporation Public Company Limited

[Bangchak] Senior Data Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonData AnalysisAWSAzure

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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