Data Engineer
Guangzhou, China
Avery Dennison
Avery Dennison is a global materials science company specializing in the design and manufacture of a wide variety of labeling and functional materials.Company Description
Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company that provides branding and information labeling solutions, including pressure-sensitive materials, radio-frequency identification (RFID) inlays and tags, and a variety of converted products and solutions. The company designs and manufactures a wide range of labeling and functional materials that enhance branded packaging, carry or display information that connects the physical and the digital, and improve customers’ product performance. The company serves an array of industries worldwide, including home and personal care, apparel, e-commerce, logistics, food and grocery, pharmaceuticals and automotive. The company employs approximately 36,000 employees in more than 50 countries. Reported sales in 2023 were $8.4 billion. Learn more at www.averydennison.com.
Job Description
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.
Support in the automation project implementation in software design and data integration.
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.
Qualifications
Advanced manufactory working experience with relational databases, automation data integration, and query authoring as well as working familiarity with a variety of databases.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
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.
We are looking for a candidate with 3+ years of experience in a Data Engineer role, who has earned a graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
WHAT WE WILL BE LOOKING FOR IN YOU:
3+ years working experience in data analytics and automation project skills in the advanced manufacturing environment.
Experience in visualization tools and data analytics tools.
Experience in SQL, MS Access, Python,Google Script is plus.
Experience in analyzing streaming data and relational databases.
Experience new data acquisition technology skill in data warehouse and data lake.
Manufactory IoT and automation experience are preferred.
A mindset of continuously challenging your peers and yourself.
Fluent speaking and writing in English.
Additional Information
AVERY DENNISON IS AN EQUAL EMPLOYMENT OPPORTUNITY PROVIDER. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or other protected status. All your information will be kept confidential according to EEO guidelines.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Consulting Data analysis Data Analytics Data warehouse E-commerce Pharma Python RDBMS SQL Statistics Streaming
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