Data Engineer

• Create and maintain optimal data pipeline architecture.
• Act as the interface between Ops business and IT to translate the business requirement into performance specifications.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build analytics tools that utilize the data pipeline to provide actionable insights into business performance metrics.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• This position will drive consulting skills, and change management processes and take primary responsibility for the implementation of data analysis within organizations and its associated value streams.
• Project management & business process management tools and system.

Requirements

• 3-year or above experience in manufacturing data modeling, with experience of BI is highly preferable. Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Advanced manufacturing working experience with relational databases, query authoring as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience in visualization tools and data analytics tools.
• Experience in using one or more google suite, Java, Google Script.
• Experience in SQL,MS Access, Python is plus.
• Experience in analyzing streaming data and relational databases.
• Experience new data acquisition technology skill in data warehouse and data lake.
• Understanding of lean and related areas.
• A mindset of continuously challenging your peers and your self.
• Fluent in both English and Chinese.