Sr Engineering Specialist (Sputter Equipment Maintenance- Data Analysis)
Singapore, SG
Seagate Technology
Seagate sorgt dafür, dass weltweit mehr Daten gespeichert und effektiv genutzt werden können – mit revolutionären Cloud-Speicher-Services, Systemen, Festplatten, Solid-State Drives und End-to-End-Datenmanagementlösungen.About our group:
Sputtering is the heart of media process in recording media organization. We are a dynamic team working in a world’s largest state-of-the art magnetic media manufacturing environment with highly automated processes and advanced control systems.
We pride ourselves on delivering committed equipment performance and operational objectives through effective maintenance, technology, and innovation to help Seagate succeed. Our team is made up of committed, talented, and friendly people passionate about our job, believing in people well-being and people development.
About the role - you will:
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Translate all equipment down time (OEE) into analytical data and data presentation.
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Build and maintain end-to-end data pipelines.
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Build data cleaning methods, pre-process, and do data analytics.
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Build Methods, Algorithms and solutions for Preventive maintenance predictions, target lifetime consumption.
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Build methods for Scheduled maintenance duration prediction based on AI.
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Able to interpret Phyton codes, data sources and maintain website.
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Participate in cross functional team to define data process flow and analytics solution.
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Work closely with cross functional teams for continuous improvement and Machine learning AI
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Work on AI projects for productivity and down time reduction
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Maintain and sustain data integrity for OEE and monitoring for sputtering equipment’s.
About you:
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Degree / Diploma in Computer science, Information Systems, Information Technology, Computation
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Competency in Data visualization tools like Tableau, power BI
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SQL Knowledge
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Programming or scripting language like Python, Java, R.
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Ability to break down complex concepts and technical findings to simple visual data.
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Ability to Maintain distributed architecture.
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Leadership skill and able to work under minimum supervision.
Your experience includes:
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At least 3 -5 years of working experience in the field of Software development.
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Proficiency in Data pipeline and database development.
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Hands on experience in Front end.
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Big Data analysis.
Location:
Our Woodlands site is one of the largest electronics manufacturing sites in Singapore, housing our recording media operations. Spread over three sites, it is easily accessible via bus or from the MRT Station, with many employees taking mass transportation to work. Here at work, you can enjoy breakfast, lunch, dinner, and snacks at our onsite canteen and coffee shop. We offer a range of facilities including an in-house gym and dance studio, as well as after-work badminton and table tennis competitions. On-site celebrations and community volunteer opportunities also abound.
Location: Woodlands, Singapore, W3
Travel: None
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Big Data Computer Science Data analysis Data Analytics Data pipelines Data visualization Engineering Java Machine Learning Pipelines Power BI Python R SQL Tableau
Perks/benefits: Career development Fitness / gym
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