Bangkok Design and implement the methods for storing and retrieving the data and monitoring the data pipelines, starting from the ingestion of raw data sources, transforming, cleaning and storing the data also including to enrich the data for promptly using for both of structured and unstructured data, and working with the data lake and cloud which is the big data technology.

• Excellent with database or data warehouse or ETL tools Extract Transform and Load technique and framework
• Proficient in programming languages, Python and Spark for data engineering
• Experience using data frameworks, Hadoop platform, Spark for big data processing and Kafka
• Knowledge and skills in using Apache Hadoop, Cloudera and Azure Cloud,
• Understanding of big data and cloud architecture
• Ability to work with data scientist in advanced analytics for preparing or discovering business insights on focus the business strategies.

• At least 1-5 years experience in big data technology, data engineering, data analytic application system development
• Have an experience of unstructured data for business Intelligence or computer science would be advantage
• Technical skill in SQL, UNIX and Shell Script, Python, R Programming, Spark, Hadoop programming
• Soft skill in analytical, decision making, communication and presentation skill

Supaporn Limsiritong (สุภาภรณ์ ลิมศิริธง)