คุณกำลังดูงานจาก 1 come 10 ของ 84 งาน data engineer
have experience to work with our Senior Data Engineer and Data Engineer from the world class of Big Your role description: Have you heard about AI, Machine Learning, Big Data Analytics? Join
CPF IT Center Co.,Ltd
,Data Lake, Dashboard / Reports, analytics) based on given software requirements, following team's , data mining is a plus · Good command in English. · Able to work effectively as team
Digithun Worldwide Co., Ltd.
Digithun Worldwide handle the development of our internal big data and our partner through your understanding and knowledge of all things data management. Responsibilities Design and develop ETL/ELT
Responsibilities Develop ETL processes that convert data into formats through a team of data improve data models that feed business intelligence tools, increasing data accessibility and fostering
Big Data Agency Company Limited
Responsibilities1. Design, construct, install, test and maintain data management systems.2. Build business/company requirements as well as industry practices.4. Develop set processes for data mining
Your Role Description: Data Platform Engineer will be responsible for building Enterprise data Understand software product capability Understand data related initiatives and engineer optimal designs
Bizcuit Data And Research Solution Co., Ltd.
Research and Big Data projects Analyze and provide the insights and turn into the actionable business the field of Consulting or Marketing or Data Analytics. Good knowledge in Marketing and Business
Responsibilities: Data collection, transformation, and aggregation from external and internal recommendations based on relevant data to clients Combining data analytics and data visualization techniques to
Responsibilities Working with cutting-edge data-driven solutions to client problems Design and statistical computer languages ( Python, SLQ, etc.) to manipulate data and draw insights from large data sets
Conicle Co., Ltd.
software Literature review on related topic Design and develop dataset on database, data warehouse or data lake depended on scale and use case of that data product Design and develop machine learning