Sr. Cloud Engineer (IT/OT/IIoT)

Thermo Fisher Scientific Inc.

Toronto, ON

Number of positions available : 1
Salary To be discussed
Published on October 27th, 2024
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Starting date : 1 position to fill as soon as possible

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Description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Job Title: Sr. Cloud Engineer (IT/OT/IIoT)

Are you a Cloud Engineering expert ready to take on an ambitious challenge? Thermo Fisher Scientific Inc. is looking for a Sr. Cloud Engineer to join our remote global innovative Innovation & IIoT / AI Hub team. This is a unique opportunity to work on world-class cloud infrastructure and data engineering projects, driving technological advancements in IT, OT, and IIoT.

Key Responsibilities:

Design, implement, and maintain cloud-based data solutions using AWS services such as S3, EC2, EMR, Glue, Athena, and Lambda
Develop and optimize ETL processes and data pipelines for efficient data processing and analytics
Implement data lakes and data warehousing solutions on AWS
Collaborate with multi-functional teams to gather requirements and deliver high-quality data solutions
Ensure data security, compliance, and efficient retrieval in cloud environments
Develop and maintain documentation for cloud infrastructure and data pipelines
Optimize query performance and cost-efficiency for large-scale data analytics
Implement IoT data integration solutions for real-time monitoring and analytics
Support the migration of on-premises data to cloud platforms
Know the latest emerging cloud technologies and standard methodologies.

Requirements:

Bachelor's degree in Computer Science, Data Science, or equivalent experience.
5+ years of experience in cloud engineering, preferably with AWS

- AWS Certified Data Analytics - Specialty certification

Strong proficiency in AWS services including S3, EC2, Glue, Athena, and EMR
Experience with data modeling and data warehousing concepts
Expertise in SQL and Python programming
Experience with data processing frameworks like PySpark
Knowledge of data visualization tools like Tableau and Power BI
Experience with version control systems like Git
Strong problem-solving skills and attention to detail
Excellent communication and collaboration abilities

Preferred Qualifications:

Experience with IoT data integration and real-time analytics
Knowledge of machine learning and predictive analytics
Familiarity with Agile development methodologies
Experience with DataOps and MLOps practices

If you're passionate about cloud technologies, data engineering, and driving data-driven decision-making, we'd love to hear from you. Join our team and help shape the future of our cloud infrastructure and data analytics capabilities.