Vaga de parceiro

Senior maintenance engineer - Rio de Janeiro / RJ

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Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • These solutions aim to generate insights from connected data, enhancing the enterprise's data-driven decision-making capabilities.
  • The role requires understanding of engineering, troubleshooting, and monitoring of rotating equipment.
  • The engineer will work alongside Data Scientists and Product Owners to ensure business value and quality.
  • Responsibilities Develop advanced analytics solutions for Predictive Analysis related to vibration, thermography, oil analysis, lubrication, and other metrics.
  • Filter and interpret Predictive Analysis Results for discussion or sharing with the Reliability Specialists Team, aiding in coordinating or requesting future corrective actions on equipment.
  • Ensure operational reliability and performance of equipment such as gas turbines, steam turbines, gas compressors, and pumps by analyzing results, conducting root cause assessments, and issuing technical reviews and recommendations.
  • Provide guidance on maintenance issues and failures of offshore turbo machinery equipment.
  • Promote collaboration between data scientists and data engineers, encouraging cross-training and mutual support.
  • Work with business process owners to validate model outputs, develop training, tune models, and ensure value creation from analytics models.
  • Participate in problem framing with business owners, data scientists, and engineers to identify opportunities.
  • Requirements Degree in Mechanical Engineering.
  • Experience in reliability and/or maintenance activities focused on condition-based monitoring.
  • Experience with Lean Six Sigma or advanced analytics projects.
  • Experience with predictive technologies and digital projects.
  • Knowledge of rotating equipment, including interpretation of characteristic and performance curves.
  • Advanced data analysis skills, especially in correlating equipment and process variables to identify anomalies and optimize performance.
  • Ability to read and interpret P&IDs and PFDs.
  • Strong collaboration skills across cross-functional teams.
  • Availability to work at our offices in Rio de Janeiro or São Paulo.
  • Fluent or advanced English proficiency.
  • Differential Experience in Oil & Gas, Metals & Mining, or Pulp & Paper industries.
  • CREA registration is desirable.
  • Additional training in rotating equipment and data analysis.
  • Knowledge of Python, Data Science, Machine Learning, and Statistics.
  • Benefits Profit Sharing (PPR) Health and Dental Plans Flexible Benefit options Flexible working hours Office amenities like massages and manicure Mentorship programs Gympass membership Snacks in the office Inclusive environment fostering diversity Day off in your birthday month Extended maternity/paternity leave Childcare assistance Personalized professional development support Focus on culture and well-being And many more benefits without a discount! #J-18808-Ljbffr

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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