Data Engineer

Who is Sertis?

Sertis is a leading Data and AI company based in the heart of Bangkok. We provide both off-the-shelf and customized solutions for our clients ranging from data infrastructure, BI development, and data-driven business insights to forecasting, optimization, and computer vision. Our expert team of data and AI consultants work closely with clients, across different industries such as retail, manufacturing, banking, energy, airlines, agriculture, and healthcare, to understand their business needs and deliver bespoke solutions using cutting-edge technologies that are just right for them.

Our aim is to be one of the leading Data and AI companies globally, where a diverse mix of talent want to come, stay, and do their best work. We pride ourselves on bringing not only the best, but also nice, talent from around the World. We recognise that our company runs on our people's hard work and dedication while maintaining a culture that encourages learning, growth opportunity, innovative contribution, and a sense of ownership.

For more information, please visit: https://www.sertiscorp.com/

In this role, you will get to:

• Design and construct scalable data processing systems.
• Develop high-performance algorithms, predictive models, and prototypes for data ingestion and processing.
• Collaborate with enterprise architects, data scientists, and IT team members to integrate systems and ensure consistent data lifecycle management.
• Conduct advanced data analysis and complex designs for big data and data streaming platforms.
• Troubleshoot data-related issues and refine system performance to ensure optimal data flow and processing efficiency.
• Ensure compliance with data governance and data security requirements, maintaining data privacy and adhering to company policies and external regulations.
• Provide guidance and mentorship to junior data engineers and team members (for senior levels).
• Lead the integration of new data management technologies into existing structures (for senior levels)

You'll be successful if you have:

• At least 3 years of experience in a data engineering role for junior levels, with hands-on experience in managing large-scale database systems.
• For senior levels, a minimum of 7 years in data engineering roles with a proven track record of successful project delivery, including experience in leading DWH projects.
• Proficiency in ETL processes, data modeling, SQL, Python, Java, and big data technologies such as Hadoop, Spark, and Kafka.
• Familiarity with cloud services (AWS, Azure, GCP) and Unix/Linux environments.
• Understanding of data warehousing solutions and knowledge of cloud platforms

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