Sr. Cloud Engineer (IT/OT/IIoT)
at Thermo Fisher Scientific
Toronto, ON, Canada -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 02 Feb, 2025 | Not Specified | 04 Nov, 2024 | 5 year(s) or above | Aws,Data Engineering,Analytics,Machine Learning,Computer Science,Data Driven Decision Making,Data Science,Data Integration | No | No |
Required Visa Status:
| Citizen | GC |
| US Citizen | Student Visa |
| H1B | CPT |
| OPT | H4 Spouse of H1B |
| GC Green Card |
Employment Type:
| Full Time | Part Time |
| Permanent | Independent - 1099 |
| Contract – W2 | C2H Independent |
| C2H W2 | Contract – Corp 2 Corp |
| Contract to Hire – Corp 2 Corp |
Description:
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.
REQUIREMENTS:
- Bachelor’s degree in Computer Science, Data Science, or equivalent experience.
- 5+ years of experience in cloud engineering, preferably with AWS
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
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.
REQUIREMENT SUMMARY
Min:5.0Max:10.0 year(s)
Information Technology/IT
IT Software - DBA / Datawarehousing
Software Engineering
Graduate
Computer science data science or equivalent experience
Proficient
1
Toronto, ON, Canada
