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 generate insights from connected data, enhancing data-driven decision-making across the enterprise.
  • The role requires expertise in engineering, troubleshooting, and monitoring rotating equipment.
  • The engineer will work closely with Data Scientists and Product Owners to ensure business value and quality.
  • ResponsibilitiesDevelop advanced analytics solutions for predictive analysis of vibration, thermography, oil analysis, lubrication, and other metrics.
  • Filter and interpret predictive analysis results for discussion with Reliability Specialists, aiding in coordinating or requesting corrective actions.
  • Ensure operational reliability of equipment such as gas turbines, steam turbines, gas compressors, and pumps by analyzing results, conducting root cause assessments, and providing technical reviews and recommendations.
  • Provide guidance on maintenance issues and failures of offshore turbo machinery.
  • Encourage collaboration among data scientists and engineers, promoting cross-training and mutual support.
  • Work with business owners to validate model outputs, develop training, tune models, and ensure value generation from models.
  • Participate in problem framing with stakeholders for identified opportunities.
  • RequirementsDegree 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 performance curves.
  • Proficiency in data analysis related to equipment and process variables, including vibration analysis, thermography, lubrication, etc.
  • Ability to read and interpret P&IDs and PFDs.
  • Strong collaboration skills with cross-functional teams.
  • Availability to work at our offices in Rio de Janeiro or São Paulo.
  • Fluent or advanced English skills.
  • DifferentialExperience in Oil & Gas, Metals & Mining, or Pulp & Paper industries.
  • CREA registration (desirable).
  • Additional training in rotating equipment and data analysis.
  • Knowledge of Python, Data Science, Machine Learning, and Statistics.
  • BenefitsProfit Sharing (PPR) based on performance.
  • Health and Dental plans.
  • Flexible Benefit options for food, transportation, education, culture, and health.
  • Flexible working hours.
  • Office massages and manicures.
  • Mentorship programs.
  • Gympass membership.
  • Snacks at the office.
  • Inclusive environment promoting diversity.
  • Day off in your birthday month.
  • Extended maternity/paternity leave.
  • Childcare assistance.
  • Personalized professional development support.
  • Culture and well-being initiatives.
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Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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