Senior Data Manufacturing Engineer

4 weeks ago


Baltimore, Maryland, United States American Sugar Refining Full time

At American Sugar Refining, we are seeking a highly skilled Data Manufacturing Engineer and Analyst to join our team. This role requires a candidate with expertise in managing databases and SCADA solutions. The ideal candidate will have a keen interest in production processes and operations, with a constant drive to seek opportunities for improvement.

Key Responsibilities:

  • Develop and maintain corporate production websites using Web Server technologies and .Net, ensuring a smooth integration of production data and other relevant information.
  • Develop and maintain MSSQL data solutions, refine SQL queries and objects, and enhance database performance and security.
  • Validate and integrate data from SAP and other sources to ensure quality and consistency.
  • Integrate and optimize industrial automation systems using Wonderware Systems Platform & OSI PI Historian Platforms.
  • Perform data analysis, modeling, and scripting using Python and Matlab to support various projects.
  • Build datapiplines and asset frameworks in OSI PI and Datahub.
  • Apply advanced analytics AI/ML techniques to develop predictive and prescriptive quality and maintenance solutions.
  • Analyze data and models to provide actionable insights and recommendations.
  • Collaborate with cross-functional teams to design and implement data science projects aimed at improving manufacturing processes.
  • Integrate process modeling techniques with control systems to improve overall plant performance.

Requirements:

  • Demonstrated experience in MSSQL, Web Server technologies, and .Net programming.
  • Proficiency in Wonderware Systems Platform SCADA, and Data Historian (AVEVA PI).
  • Strong programming skills in Python and Matlab.
  • Advanced knowledge of Power BI for data visualization.
  • Familiarity with AVEVA Data Hub, predictive and advance analytics tools.
  • Familiarity with advanced analytics, including predictive and prescriptive maintenance tools.
  • Solid understanding of data science principles and methodologies.
  • Profound knowledge of AI and ML algorithms, tools, and practices, with practical experience in integrating these technologies into control systems.
  • Proficient in ControlLogix.

Preferred Qualifications:

  • Allen Bradley PLC ControlLogix.
  • AVEVA SaaS Solutions for process simulation & analytics.
  • Master in Data Science.

Travel Requirements:

  • 20% travel (domestic).

Location:

Baltimore.



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