Your day-to-day responsibilities:

• Lead data engineers and complex projects to completion.
• Design, plan, prioritize and be responsible for the project.
• Build scalable, maintainable data pipelines (batch/streaming-ingestion/ELT/ETL/data products) and ensure their quality/reliability/integrity.
• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increase data accessibility and foster data-driven decision-making across the organization.
• Coach and mentor junior data engineers to develop their skills.

Your ideal profile:

• B.S. in a related field e.g. Computer Science, Data Science, Business Administration, Financial Management, etc.
• Fluent in both English and Thai.
• Proficient with programming languages such as Python, SQL, or Scala.
• Understand the concepts of Data Lake, Data Warehouse, and Data Mart.
• Experience in Big Data technologies and their ecosystem such as Hadoop, Spark and Airflow.
• Experience in building and maintaining reliable and scalable ETL on big data platforms as well as experience working with varied forms of data as structured, semi-structured or unstructured data.
• Experience in container management such as Docker.
• Familiar with Cloud Computing Services such as AWS, Azure, or GCP.
• Understand the process of data pipeline such as collecting, transforming, and publishing data.
• Understand the tools and design platforms that allow processing of data from multiple heterogeneous sources with different frequencies (batch/real-time).
• Innovative problem-solving skills with the ability to identify and resolve complex architectural issues.
• Ability to translate and clearly formulate technical issues Project.