SCADA MES Engineer
SCADA MES Engineer
Posted on :
08-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
SCADA / MES Engineer
Allied Mineral Productsis a leading manufacturer of monolithic refractories worldwide. We areseeking aSCADA / MES (Manufacturing System) Engineerin our Columbus Ohio location. This SCADA / MES Engineerwilldesign and implement data engineering solutions to increase efficiency lower costs improve environmental health and safety and quality or reduce downtime of production and facility equipment.
Focus area for the SCADA / MES Engineeris the development and implementation of methods to transform raw data into useful data systems in support of manufacturing and engineering information and automation strategy. Collaborating closely across engineering disciplines obtain raw data from multiple sources ensuring data reliability and quality develop and test manufacturing data architectures that enable efficient data extraction for analysis visualization and predictive or prescriptive modeling.
Key Duties:
Allied Mineral Productsis a leading manufacturer of monolithic refractories worldwide. We areseeking aSCADA / MES (Manufacturing System) Engineerin our Columbus Ohio location. This SCADA / MES Engineerwilldesign and implement data engineering solutions to increase efficiency lower costs improve environmental health and safety and quality or reduce downtime of production and facility equipment.
Focus area for the SCADA / MES Engineeris the development and implementation of methods to transform raw data into useful data systems in support of manufacturing and engineering information and automation strategy. Collaborating closely across engineering disciplines obtain raw data from multiple sources ensuring data reliability and quality develop and test manufacturing data architectures that enable efficient data extraction for analysis visualization and predictive or prescriptive modeling.
Key Duties:
- Work with stakeholders including operations plant engineering R&D and IT teams to understand business challenges work toward solutions assist with datarelated technical issues and support their data infrastructure needs
- Assemble large complex data sets that meet functional / nonfunctional business requirements.
- Identify design and implement internal process improvements: automating manual processes optimizing data delivery redesigning infrastructure for greater scalability and efficiency.
- Build the infrastructure required for optimal extraction transformation and loading of data from a wide variety of data sources using SQL and AWS big data technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into asset performance management operational efficiency and other key business performance metrics.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Identify and integrate hardware/sensors software and data acquisition tools to develop and manage IoT/Industry 4.0 applications for data analysis preventive/predictive maintenance quality and condition monitoring and performance improvements.
- Ensure data integrity for analysis and visualization solutions using software and programming languages such as SQL Lab View Ignition and Microsoft Power BI.
- Extract and analyze data from multiple platforms and sources to develop and implement analytics reports and visualization toolsets. (Dashboards OEE etc.
- Design and deploy manufacturing/operations equipment controls and data acquisition infrastructure in alignment with companys network infrastructure standards.
- For the manufacturing process network lead equipment network asset management including the creation and maintenance of component inventory and documentation such as technical specifications information network configuration network mapping processes and change management.
- Develop implement and interpret process and instrumentation diagrams (P&IDs) into schematics and data acquisition plans.
- Coordinates activities between R&D Operations and IT.
- Function as the subject matter expert in data acquisitionfor engineering systems for industrial manufacturing environment
- Coordinate outside contractors as needed to complete any assigned projects.
- Provide training and instruction to Allied employees on data acquisition tools and applications.
- Provide timely support to troubleshoot data availability issues and implement solutions to prevent recurrence and improve data availability integrity and security.
- Maintain excellent lines of communication with engineering operations R&D IT other Allied departments and our affiliates.
- Support Allieds manufacturing operations around the world. Occasional travel to US or international locations may be required.
- Independently maintain technical knowledge and remain current on emerging technologies.
Qualifications:
- A bachelors degree in computer science engineering electrical engineering data analytics statistics IT or another similar technical field.
- At least 5 to 10 years of previous experience as a data engineer or in a similar role experience in a manufacturing environment desired.
- Data engineering certification (e.g. IBM Certified Data Engineer) or a Graduate degree in Computer Science Statistics Informatics Information Systems or another quantitative field is a plus.
- Technical expertise with data models data mining and segmentation techniques.
- Knowledge of programming languages (e.g. Java and Python)
- Advanced working SQL knowledge and experience designing and working with relational databases query authoring (SQL) 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.
- A successful history of manipulating processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing stream processing and highly scalable big data data stores.
- Strong project management and organizational skills.
- Experience supporting and working with crossfunctional teams in a dynamic environment.
- Experience using the following software/tools:
- Objectoriented/object function scripting languages: Python Java C Scala etc.
- Big data tools: Hadoop Spark Kafka etc.
- Data pipeline and workflow management tools: Azkaban Luigi Airflow etc.
- AWS cloud services: EC2 EMR RDS Redshift
- Streamprocessing systems: Storm SparkStreaming etc.
- Allen Bradley PLC ladder logic OPCUA Ignition
- Familiarity with ISA 88 ISA 95
- Familiarity with SAP a plus
- Excellent written and verbal communication and human relations skills required.
- Must be able to work independently.
- Willingness to work flexible hours as needed.
Allied Mineral Products offers competitive wages health dental STD LTD ESOP retirement plan and profit sharing. Passing a drug screen is required prior to starting work should an offer be made.
Allied Mineral Products Holding Inc. is an Equal Opportunity Employer/Veterans/Disabled.
Allied Mineral Products Holding Inc. is an Equal Opportunity Employer/Veterans/Disabled.
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
