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ค้นหาตามรายชื่อบริษัท

รายละเอียดงาน

ตำแหน่งงาน : Data Engineer (AI)

ระดับบริหาร บริษัท ซีพี ออลล์ จำกัด (มหาชน)

ลักษณะงาน

• Build cross-functional relationships with senior and middle management, AI engineer and other cross functional partners to understand data needs and deliver on those needs. • Manage Data Integration projects. • Identify all possible use cases and business outcomes related with retail strategic projects focused on AI and blockchain application. • Prepare logging specifications and collaborate with AI and blockchain engineering teams to instrument logging. • Envision and build a self-serve data platform linked with enterprise architecture design. • Identify, collect and transform real-world user interaction, API's and server events data into scalable/extensible schema models. • Create foundational data capabilities by leveraging your existing data leadership in addition to constantly learning about new technologies. • Design and implement scalable data repositories to integrate qualitative and quantitative research data. • Manage the delivery of high impact dashboards and data visualizations from AI and Blockchain results. • Inform, influence, support, and execute our AI and blockchain application decisions and launches. • Along with commercial teams, use data to solve problems and identify trends, growth levers, and opportunities. • Design, build and launch new data extraction, transformation and loading processes in production. • Work with data infrastructure to triage infrastructure issues and drive to resolution.

ประเภทงาน

เทคโนโลยีสารสนเทศ

สถานที่ทำงาน

บางรัก

การศึกษา

BS/BA or Master in Technical Field, Computer Science, Mathematics, Computer Engineering, IT, AIS, MIS or equivalent experience.

คุณสมบัติ

• At least 3 years experience in Linux for Data Center, plus experience in the data warehouse space related, custom ETL design, implementation and maintenance. • Familiar with either a Map Reduce or a MPP system, schema design & dimensional data modeling, and writing SQL statements. • Ability to analyze data to identify deliverables, gaps, and inconsistencies. • Communication skills including the ability to identify and communicate data-driven insights. • Ability in managing and communicating data warehouse plans to internal clients. • Able to work at Chaengwattana in next 3 years. ** สนใจสมัครงาน สามารถสมัครทาง Website หรือ E-mail : sevenjobs@cpall.co.th (ใส่หัวข้อเป็นตำแหน่งที่สนใจ) **

เพศ

ไม่ระบุ

อายุ

28 - 40 ปี

โปรด login เข้าสู่ระบบ

แนะนำตำแหน่งงานให้เพื่อน

ตำแหน่งData Engineer (AI)