Position overviewPosted 1 month ago
Senior Data Engineer (9-month Contract) – ASCEND
Ascend Group Co., Ltd →Not specifiedMinimum of 5 years of experience as a Data Engineer
True Digital Park, Bangkok (Hybrid working)
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Listing record updated: September 7, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.
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About the position
**Roles and Responsibilities**
* Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
* Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
* Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
* Implement data security and compliance measures to protect data privacy and ensure regulatory compliance.
* Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data.
* Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team.
* Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise.
**Qualifications**
* Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
* Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure.
* Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python.
* Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP.
* Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink.
* Knowledge of data modeling principles and experience working with SQL databases.
* Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently.
* Excellent communication and collaboration skills to work effectively with cross-functional teams.
Responsibilities
Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
Implement data security and compliance measures to protect data privacy and ensure regulatory compliance.
Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data.
Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team.
Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise.
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure.
Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python.
Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP.
Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink.
Knowledge of data modeling principles and experience working with SQL databases.
Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently.
Excellent communication and collaboration skills to work effectively with cross-functional teams.
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