Data Engineer

Sertis (Bangkok, Bangkok City, Thailand)

Bangkok, Thailand

We are a leading Big Data and AI-powered solution company working with some of the largest companies in the world and partnering with Microsoft and Google to create insights and build custom AI solutions to help drive business growth. Our team of data scientists, data engineers and AI researchers work closely with clients to provide cutting edge solutions custom tailored for their business.

About this position

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.

Responsibilities

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
• Participate in recruitment in order to evaluate and interview candidates, as well as improving our recruitment processes
• Gather customer requirements during pre-sales interactions, determining project scope, creating technical diagrams, and making estimations for man-days and cloud costs
• Develop and maintain technical documentation

Requirements

You'll be successful if you have:
• 4+ 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