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.
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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.