What are the responsibilities and job description for the Computer/Data Engineer II position at Canon Virginia, Inc?
Computer/Data Engineer II
Location
US-VA-Newport News
Company
Canon Virginia, Inc.
| Requisition ID | 28421 | Category | Engineering | Position Type | Full-Time |
Are you interested in growing your career with one of the leading global manufacturers as Computer/Data Engineer II? Canon Virginia has transformed into the Americas' Regional Technical Headquarters, and we are seeking a motivated and driven individual to join our Canon family. Our innovative company is rapidly expanding, and we are eager to find the right person for this position!
In this key role, you will provide data engineering support to implement or improve production equipment and/or systems including, but not limited to, automated assembly, process lines and manufacturing processes; with a heavy focus on implementing new technologies such as Artificial Intelligence, Deep Learning, IoT, etc.
You will also improve and add on to existing architecture to support changing data requirements and optimize system performance; performs ETL processes to put data in a format to support activities for Data Scientists.
In this key role, you will provide data engineering support to implement or improve production equipment and/or systems including, but not limited to, automated assembly, process lines and manufacturing processes; with a heavy focus on implementing new technologies such as Artificial Intelligence, Deep Learning, IoT, etc.
You will also improve and add on to existing architecture to support changing data requirements and optimize system performance; performs ETL processes to put data in a format to support activities for Data Scientists.
- Creates and maintains optimal data pipeline architecture.
- Develops tools and works on integrating disparate systems using ETL.
- Designs and implements scalable, reliable distributed data processing frameworks and analytical infrastructures using multiple technologies.
- Designs clean, efficient, robust and reliable solutions that deliver on requirements as well as advising on data centric designs that are secure, stable and scalable.
- Implements and provides technical input for data analytics architecture and platform decisions for both the back-end data processing and the front-end data visualization/statistical components.
- Performs and reviews designs and solutions for data manipulation, data preparation, and data movement processes for a variety of scenarios from simple file-based export/import to enterprise-grade ETL workflows connecting multiple structured and unstructured endpoints
- Performs data analysis required to troubleshoot data related issues and assists in the resolution of data issues.
- Participates in code reviews to ensure all code meets quality and security standards
- Troubleshoots and resolves issues in existing systems.
- Develops tools and works on integrating disparate systems using ETL.
- Designs and implements scalable, reliable distributed data processing frameworks and analytical infrastructures using multiple technologies.
- Designs clean, efficient, robust and reliable solutions that deliver on requirements as well as advising on data centric designs that are secure, stable and scalable.
- Implements and provides technical input for data analytics architecture and platform decisions for both the back-end data processing and the front-end data visualization/statistical components.
- Performs and reviews designs and solutions for data manipulation, data preparation, and data movement processes for a variety of scenarios from simple file-based export/import to enterprise-grade ETL workflows connecting multiple structured and unstructured endpoints
- Performs data analysis required to troubleshoot data related issues and assists in the resolution of data issues.
- Participates in code reviews to ensure all code meets quality and security standards
- Troubleshoots and resolves issues in existing systems.
- A Bachelor's degree in Computer Science, Data Science, Software Engineering, Computer Engineering or related field and 2-5 years' experience preferably in a manufacturing environment.
- Must be at least 18 years old.
Additional experience:
- Experience working with streaming Industrial IoT data using OPC and MQTT.
- Basic System Architect Abilities/Knowledge - Comfortable with the below concepts: Networking - Subnets, VLANs, Firewalls, Routing
- Basic Experience with Desktop and Server Administration - Linux, Microsoft Windows, VMWare, Scripting
- Previous work with predictive maintenance in an industrial setting is a major plus.
- Experience working with SCADA systems, specifically Ignition, is a plus.
- Experience developing and/or administering RDBMS systems like PostgreSQL or Microsoft SQL Server.
- Experience with Rapidminer is a plus.
- Must be at least 18 years old.
Additional experience:
- Experience working with streaming Industrial IoT data using OPC and MQTT.
- Basic System Architect Abilities/Knowledge - Comfortable with the below concepts: Networking - Subnets, VLANs, Firewalls, Routing
- Basic Experience with Desktop and Server Administration - Linux, Microsoft Windows, VMWare, Scripting
- Previous work with predictive maintenance in an industrial setting is a major plus.
- Experience working with SCADA systems, specifically Ignition, is a plus.
- Experience developing and/or administering RDBMS systems like PostgreSQL or Microsoft SQL Server.
- Experience with Rapidminer is a plus.
About our Company - Canon Virginia, Inc. located in Newport News, Virginia is a global manufacturer for Canon's office and consumer products. Our innovative and efficient production methods along with our environmental commitment make us a leading global manufacturer. Since opening our doors in 1985, Canon Virginia has provided world class manufacturing services. It is the policy of Canon Virginia, Inc. (CVI) to provide equal employment opportunities without regard to race, creed, color, age, sex, religion, sexual orientation, marital status, veteran status, national origin, or physical/mental disability except where there is a bona fide occupational qualification. This policy relates to all phases of recruitment, employment, compensation, benefits administration and participation in company sponsored employee activities. This includes hiring, promotions, demotions, transfers, layoffs, recall, training and terminations. Employment practices will conform to all federal, state and local laws on non-discrimination. http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm
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