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 LambdaDevelop and optimize ETL processes and data pipelines for efficient data processing and analyticsImplement data lakes and data warehousing solutions on AWSCollaborate with multi-functional teams to gather requirements and deliver high-quality data solutionsEnsure data security, compliance, and efficient retrieval in cloud environmentsDevelop and maintain documentation for cloud infrastructure and data pipelinesOptimize query performance and cost-efficiency for large-scale data analyticsImplement IoT data integration solutions for real-time monitoring and analyticsSupport the migration of on-premises data to cloud platformsKnow 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 EMRExperience with data modeling and data warehousing conceptsExpertise in SQL and Python programmingExperience with data processing frameworks like PySparkKnowledge of data visualization tools like Tableau and Power BIExperience with version control systems like GitStrong problem-solving skills and attention to detailExcellent communication and collaboration abilities

Preferred Qualifications:

Experience with IoT data integration and real-time analyticsKnowledge of machine learning and predictive analyticsFamiliarity with Agile development methodologiesExperience 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.