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Data Analytics Engineer
Camlin Group. Provide expert condition assessment and asset health evaluation by analyzing maintenance and monitoring data from customer high-voltage assets, including transformers, circuit breakers, and rotating machines .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in condition assessment and asset health evaluation for high-voltage assets, utilizing AI/ML applications and data analytics to enhance performance and reporting. Strong ability to communicate technical findings and collaborate across teams in the energy industry.
Highest-signal resume keywords
Condition AssessmentAI/ML ApplicationsData AnalysisTechnical CommunicationEnergy Industry Expertise
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Asset Health EvaluationData AnalysisModel DevelopmentAlgorithm TestingCondition Assessment ReportingFleet-Trend AnalysisRisk ReportingAnomaly DetectionTechnical WritingMaintenance Data Interpretation
Soft Skills
Strong Communication SkillsPresentation Skills
Tools & Technologies
Online Monitoring ToolsSpreadsheetsScripts
Industry Keywords
High-Voltage AssetsTransformersCircuit BreakersRotating MachinesEnergy IndustryIndustry StandardsPower-System Assets
About the role
Key responsibilities & impact- Provide expert condition assessment and asset health evaluation by analyzing maintenance and monitoring data from customer high-voltage assets, including transformers, circuit breakers, and rotating machines
- Support development of models and algorithms for automated assessment of failure modes and prescriptive maintenance
- Liaise between Asset Performance, Data Science, and software development teams
- Test and validate models against historical and new condition-assessment data
- Review and analyze customer data and prepare periodic customer online-monitoring reports
- Prepare condition assessment reports for customer assets using online monitoring and maintenance test data
- Manage and maintain consolidated customer datasets for fleet-trend analysis, risk reporting, and anomaly detection
- Prepare templates, spreadsheets, and scripts to automate customer-data analysis and condition-assessment reporting
- Research AI/ML applications and explore use of Camlin data to enhance Sapient Asset Insights
- Author technical papers and articles on AI/ML applications and analytics for power-system assets
- Develop industry expertise in asset data and analytics and AI/ML applications for power-system assets
Requirements
What you’ll need- Graduate in Electrical or Mechanical Engineering from a University or College of recognized standing
- Relevant work experience in technical roles within the Energy industry will also be considered
- Proficient in reading and interpretation of industry standards and guides
- Proficient in English, both verbal and written
- Strong communication and presentation skills
Benefits
Comp & perks- Equal employment opportunity regardless of race, colour, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, gender identity or sexual orientation