- Work in an entrepreneurial and dynamic environment with a chance to make an impact.
- Develop lasting relationships with great people.
- Have the opportunity to build a satisfying career.
- Systems Development:
- Design, construct, install, test and maintain highly scalable data management systems
- Ensure systems meet business requirements and industry practices
- Integrate new data management technologies and software engineering tools into existing structures
- Create custom software components (e.g. specialized UDFs) and analytics applications
- Employ a variety of languages and tools (e.g. scripting languages) to marry systems together
- Recommend ways to improve data reliability, efficiency and quality
- Collaborate with data architects, modelers and IT team members on project goals
- Evaluate and implement changes and improvements to development tool systems
- Work closely with internal and external interdisciplinary teams to drive key aspects of product scope, execution, test and maintain database structures.
- Data Acquisition:
- Develop automation frameworks that enable efficient data acquisition, post-processing, and test execution
- Develop requirements for data acquisition from manufacturing field assets
- Configure and test data tags into Edge computing platform and ensure stable connections.
- Support readiness reviews and validation to ensure efficient execution.
- Research opportunities for data acquisition and new uses for existing data
- Data Wrangling and Modelling:
- Develop data set processes for data modeling, mining and production
- Design, develop, and test logics to manipulate data for business requirements.
- Join the edited data for further use and analysis.
- Cleanse the data into a usable and functional format and correct/remove any bad data.
- Design and develop requirements to optimize storage of data using mathematical models.
- Data Science and Business Intelligence:
- Engage in statistical and exploratory analysis of datasets using ML techniques
- Use the insights to build robust classification and prediction models.
- Build high-performance algorithms, prototypes, predictive models and proof of concepts
- Test and deploy machine-learning algorithms, publish results and enhance models for accuracy.
- Application Development:
- Understanding requirements and how they translate to new application features
- Collaborating with development team and other IT staff to set specifications for new applications
- Design creative prototypes according to specifications.
- Perform unit and integration testing before launch, Conduct functional and non-functional testing
- Develop technical documents and handbooks to accurately represent application design and code
- Process Automation development:
- Collaborate with IT and Manufacturing Information Systems groups as a part of implementation of projects.
- Selecting features, building and optimizing automation processes using machine learning and data acquisition techniques
- Data mining using state-of-the-art methods
- Extending company's data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner
- Systems Development Engineer I is estimated to travel 20-40%
- Please note this job description is not a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without prior notice.
- Required:
- 0-2 year(s) – Experience in Systems Development, Data Science and Analytics or other related fields
- Preferred:
- 3-5 years – Experience in Systems Development, Data Science and Analytics or other related fields
- Minimum Required:
- Bachelor's Degree in Computer Science/Automation or other related fields or equivalent experience
- Preferred:
- Master's Degree in Computer Science with focus on Data Science and Machine Learning
- Solid understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Preferred experience with common data science toolkits, such as R, Weka, Python with focus on NumPy, Matplotlib and Pandas, MatLab, etc.
- Proficiency in using query languages such as SQL Etc.
- Proficiency in, but not limited to:
- Microsoft Office Applications – Word, Excel, PowerPoint, Outlook, Project, Visio, etc.
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Basic understanding of data acquisition and processing tools and techniques and developing algorithms on common platforms to generate outputs
- Basic scripting and programming skills
- Basic understanding of PLC/SCADA systems such SIEMENS S7, ALLEN BRADLEY, BnR, Ignition etc.
- Knowledge of MQTT, TCP/IP, MODBUS RTU, OPC-UA or other related publisher-subscriber communication protocols.
- Able to translate data into recommendable actions to senior management
- Strong analytical and problem solving skills
- Self-motivated with a proven record of taking initiative
- Able to work with minimal supervision
- Detail-oriented with excellent oral and written communication skills
- Able to execute tasks in a very dynamic and ever-changing environment
- Exercise sound judgment and ability to work effectively with a diverse workforce
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Systems Development Engineer I - Diamond Bar, United States - Niagara Bottling
Description
At Niagara, we're looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water.
Consider applying here, if you want to:
We offer competitive compensation and benefits packages for our Team Members.
Systems Development Engineer IThe Systems Development Engineer I is responsible for engaging with an experienced cross-disciplinary team to conceive, design, and bring to market innovative Predictive Maintenance systems. You will execute the roadmap and drive innovation to help deliver top-notch solutions for our manufacturing teams. You will build robust, secure and scalable infrastructures that will support and protect data, applications and services for Predictive analytics.Work Experience/KSA's
*experience may include a combination of work experience and education
*experience may include a combination of work experience and education
Education
Preferred Competencies and Skills
Typical Compensation Range
Pay Rate Type: Salary$77, $112,805.00 / YearlyBenefits
Any employment agency, person or entity that submits a résumé into this career site or to a hiring manager does so with the understanding that the applicant's résumé will become the property of Niagara Bottling, LLC. Niagara Bottling, LLC will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
Employment agencies that have fee agreements with Niagara Bottling, LLC and have been engaged on a search shall submit résumé to the designated Niagara Bottling, LLC recruiter or, upon authorization, submit résumé into this career site to be eligible for placement fees.
Niagara Plant NameCORP-MAIN
