Senior Data Engineer

Betagro Group (Lak Si)

Bangkok, Thailand

Betagro Public Company Limited is a leading integrated agro-industrial and food company in Thailand. Our business covers the production and sale of animal feed, animal pharmaceuticals and supplements, livestock, swine and poultry products, eggs, related processed food products and pet food, distribution of farm equipment and related research and development. We have a vertically integrated business model that covers many aspects of the value chain for our products, from feed production, growth and sale of broodstock, commercial farming, slaughtering and processing to sales. Our efficient, high-standard production and food processing facilities, research capabilities and internal systems which monitor and control each stage of the food value chain, allow us to effectively control quality and manage costs. In addition, we are committed to producing high quality and safe products and have implemented strict biosecurity and quality control measures, guided by recognized international standards.

About this position

The Senior Data Engineer is responsible for designing, developing, and maintaining data architecture and pipelines, solving complex data problems, and mentoring other data professionals.

Responsibilities

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
• Solve complex data problems to deliver insights that helps business to achieve their goals.
• Create data products for analytics and data scientist team members to improve their productivity .
• Advise, consult, mentor and coach other data and analytic professionals on data standards and practices.
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.
• Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team.
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.
• Partner with tribe members and solutions architects to develop technical architectures for strategic projects and initiatives.
• Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.

Requirements

• Bachelor’s degree required; Computer Science, MIS, or Engineering preferred 3-5 years of experience working in data engineering or architecture role.
• Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred).
• Experience developing and maintaining data warehouses in big data solutions .
• Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred).
• Database development experience using Hadoop or Big Query and experience with a variety of relational, NoSQL, SAP BW and cloud database technologies.
• Worked with BI tools such as Tableau, Power BI, Looker, Shiny.
• Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
• Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.