Sr. Cloud Engineer
2 days ago
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.
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