•Leading the team that provides guidance on suitable data architecture and data engineering options
•Direct the design, implementation, and optimization of data pipelines for analytical solutions developed in the TCL big data applications such as TCL user profiles recommendation engine, Analyzing System of Popular Feelings, Smart Manufactory Data Analytics, etc
•Develop and manage enhancement algorithms (machine learning, deep learning) and metadata management tools •Lead efforts around data integration and standardization in collaboration with other leaders
•Develop a data consolidation roadmap for the analytic platform, including data ingestion, data cleansing, data architecture, and data integration
Skill and Experiences Requirements:
•Master or Ph.D degree on related field of study;
•At least 7 years work experiences in Enterprise, and specifically analytics and data engineering with 5 years in data architecture and engineering;
•Must have experience in major big data solutions like Hadoop, HBase, Sqoop, Hive, Spark etc.;
•Demonstrated ability to articulate, persuade and communicate the value of data;
•Experienced with smart manufactory or industry 4.0 related field is preferred;
•At IBM,GE, Amazon, Salesforce, etc, a line of international working experience is preferred;
•With a good passion on new technologies and innovations; •
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