Avery Dennison Data Engineer in Dallas, Texas
Avery Dennison is Everywhere You Look!Avery Dennison (NYSE: AVY) is a global materials science company specializing in the design and manufacture of a wide variety of labeling and functional materials. The company’s products, which are used in nearly every major industry, include pressure-sensitive materials for labels and graphic applications; tapes and other bonding solutions for industrial, medical, and retail applications; tags, labels and embellishments for apparel; and radio frequency identification (RFID) solutions serving retail apparel and other markets. Headquartered in Glendale, California, the company employs more than 30,000 employees in more than 50 countries. Reported sales in 2020 were $7 billion. Learn more at www.averydennison.com.
ABOUT YOUR ROLE:
You will be joining Avery’s newly stood up Digital Data Factory (DFactory), a centralized team responsible for planning and executing the digital roadmap within Avery’s RBIS division. The DFactory will be filled with digital talent that will be working on the most important initiatives within RBIS to increase operational efficiency and unlock value for our customers, in close collaboration with internal resources and external partners.
You will design, build and manage the architecture that helps analyze and process data as required by the initiatives in the DFactory and make sure those systems are performing smoothly. You will also prepare the “big data” infrastructure to be analyzed by Data Scientists.
YOUR RESPONSIBILITIES WILL INCLUDE:
Developing sustainable data driven solutions with next gen data technologies to meet the needs of our organization and customers
Building data pipeline frameworks to automate high-volume and real-time data delivery for our Hadoop and streaming data hub
Building robust systems with an eye on the long term maintenance & support of the application
Building data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners
Transforming complex analytical models into scalable, production-ready solutions
Continuously integrating & shipping code into our on premise & cloud Production environments
Developing applications from ground up using a modern technology stack such as Scala, Spark, Postgres, Angular JS, and NoSQL
Working directly with Product Owners and customers to deliver data products in a collaborative and agile environment
Writing test data scripts and execute formal test plans to ensure the quality delivery of data related projects
Identifying opportunities for automation within software processes
Designing and executing QA tests using scripts that automatically test functionality
WHAT WE WILL BE LOOKING FOR IN YOU:
2+ years of experience in designing and developing Data Pipelines for Data Ingestion or Transformation using Java or Scala or Python
2+ years of experience in the following Big Data frameworks: File Format (Parquet, AVRO, ORC), Resource Management, Distributed Processing and RDBMS
2+ years of developing applications with Monitoring, Build Tools, Version Control, Unit Test, TDD, Change Management to support DevOps
2+ years of experience with SQL and Shell Scripting experience
1+ years of experience with Microsoft Azure or public cloud service
2+ years of experience working with Dimensional Data Model/pipelines
2+ years of experience with Streaming using Spark or Flink or Kafka or NoSQL
Basic understanding of ETL standards and best practices
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. EEOE/M/F/Vet/Disabled. All your information will be kept confidential according to EEO guidelines.
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. EEOE/M/F/Vet/Disabled