Sr. Cloud Engineer (IT/OT/IIoT)

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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.