Engineer (Data Engineer : Quality Statistics and Benchmarking Management)
Quick Summary
Design, develop, and maintain robust data pipelines to extract, transform, and load (ETL) data from various sources such as crowdsourcing data, test tool, network statistics, application log etc.
Bachelor's degree in Computer Engineering, Computer Science, Information Technology, or a related field. Master’s degree is a plus. 0–3 years of experience as a Data Engineer.
Become a part of Thailand’s no.1 Digital Service Provider, Who strives to provide best services that help people fulfil their dreams.
We are looking for potential candidates who are eager to learn and grow to join our young talent team.
Responsibilities
~1 min read- →
Design, develop, and maintain robust data pipelines to extract, transform, and load (ETL) data from various sources such as crowdsourcing data, test tool, network statistics, application log etc. Also develop and maintain data models and warehouses.
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Implement processes and systems to automate data processing tasks.
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Optimize data storage, ensuring data integrity and reliability while managing scalability and performance.
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Collaborate with data scientists and analysts to understand their data needs and design and implement data pipelines that meet those needs.
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Write and maintain documentation for data pipelines and data models.
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Troubleshoot data-related issues, investigate data anomalies, and perform root cause analysis.
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Implement data security and access controls to protect sensitive data.
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Stay up-to-date on the latest data engineering technologies and trends.
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Ensure data compliance with relevant regulations and industry standards.
Requirements
~1 min readBachelor's degree in Computer Engineering, Computer Science, Information Technology, or a related field. Master’s degree is a plus.
0–3 years of experience as a Data Engineer.
Knowledge and skill of database systems (SQL and NoSQL).
Strong programming skills in languages like Python, Java, or Scala.
Experience with data processing frameworks such as Apache Spark and Apache Hadoop.
Knowledge of data visualization tools (e.g., Tableau, Power BI).
Experience with data quality and integrity tools and techniques is a plus.
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Ability to work in a fast-paced, agile environment.
Strong knowledge of data security and privacy practices.
Self-motivated with a passion for data and a proactive attitude.
Location & Eligibility
Listing Details
- Posted
- July 7, 2026
- First seen
- July 7, 2026
- Last seen
- July 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 44%
- Scored at
- July 7, 2026
Signal breakdown
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