Sertis is a leading Data and AI company based in the heart of Bangkok.

We provide both off-the-shelf and customised 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.

Benefits & Perks

Hybrid Work

Good work can be done from anywhere.

Vacation and Personal Leave

We encourage all our teams to take time off, recharge and refocus.

Referral Bonus

Good people know good people!

Provident Fund

It's important to think about the future.

Overview of the job

We are seeking a Data Engineer to join our growing team. The ideal candidate will be a highly motivated and experienced data professional with a strong technical background in data engineering, data architecture and cloud. As a Data Engineer, you will play a crucial role in designing and implementing data solutions that drive business value, help us make data-driven decisions, and improve customer experiences.

In this role, you will get to:

Collaborate with cross-functional teams to understand business requirements and design data solutions to meet those needs
Design and build scalable data pipelines to ingest, process, and store large volumes of data
Manipulate complex data from a variety of sources (e.g. API, SFTP, Databases, SAP, Google Analytics, etc.)
Ensure data quality, accuracy, and completeness through data validation and error handling processes
Maintain and monitor existing ETL pipelines and advising on necessary infrastructure changes
Design and implement security and access control measures to protect sensitive data or comply with regulation such as PDPA
Develop and maintain technical documentation

You'll be successful if you have:

3+ years of experience in Data engineering in designing, building, maintaining data infrastructure in cloud environments such as AWS, GCP or Azure
Strong programming skills in languages such as Python, Java, or Scala (Python preferred)
Strong Experience with cloud based data lake solutions, such as S3, GCS or Data Lake Storage, and how to design and implement data lake architectures
Strong Experience with data warehousing tools, such as Redshift, Synapse or BigQuery, and how to optimize data warehousing performance for large-scale data sets
In-depth knowledge and hands-on experience with big data technologies such as Hadoop, Spark, and Hive (Spark preferred)
Expertise in designing and implementing efficient ETL pipelines composed of a variety of data sources, and the ability to ensure data quality with a strong understanding of data integration and transformation techniques
Experience working with orchestration tools such as Airflow, AWS Step functions or Azure Data Factory
Ability to write efficient SQL queries for data extraction and transformation, demonstrating proficiency in optimizing query performance, understanding distributed query execution models, and utilizing advanced SQL concepts. (Spark preferred)
Excellent problem-solving skills and the ability to work well in a fast-paced, collaborative environment

It's a plus if you have:

Holding certifications related to data engineering of cloud providers such GCP Data engineering, etc
Working on multiple projects simultaneously
Data streaming technologies and data integration with streaming data sources
Docker and experience deploying and managing containerized data solutions
Implementing PDPA process
Optimizing cloud costs through various strategies
DevOps and continuous integration/continuous delivery (CI/CD) practices / Knowledge of CI/CD and Infrastructure as Code concepts (Terraform, AWS CDK, Github pipelines and Gitlab CI)

What are some of the benefits of working at Sertis?

Hybrid working environment
Up early or slow starter in the morning? We have flexible office hours
Mentorship programs for every level; from executive-level coaching to fresh grad
Learning support- to help you build your skillset and grow your career
Get to work and learn from the best in the industry, and share your ideas with like-minded individuals
We cultivate intelligence and learning so that our experts can become community leaders in their respected fields in the tech industry
Amazing colleagues to enjoy company social outings, parties, and events
Result-oriented workplace; We provide direction, not orders and give you the autonomy to deliver your best work
We work at the frontier of innovation in the AI industry
Work on meaningful solutions that solve and improve real-life problems and challenges
We run like a startup, and embrace the adventure; we focus on getting things done, while still having a down-to-earth and informal culture