As a Senior Developer at Thermo Fisher Scientific, you will have the opportunity to design and develop sophisticated software solutions that contribute to improving health and environmental outcomes. Working with cutting-edge technologies across cloud platforms, data integration, AI, and enterprise systems, you will play a crucial role in delivering robust applications that power essential operations. Your responsibilities will include:
Collaborating with cross-functional teams in an agile environment to architect, implement, and optimize solutions across various platforms including AWS, Azure, ServiceNow, and enterprise systems
Driving technical innovation, supporting the growth of other developers, and establishing best practices for software development excellence
Taking ownership of the full software development lifecycle, from gathering requirements and designing solutions to deployment and continuous improvement
Developing cloud applications, creating data pipelines, and building AI-powered features to shape the future of scientific technology
Qualifications required for this role include:
Proven experience (5+ years) in data engineering with a strong understanding of modern data architecture, pipelines, and operations
Expertise in Databricks and Spark, Python, Apache, SQL, including pipeline creation, automation, and monitoring
Hands-on experience crafting and administrating relational database solutions, including AWS Delta Lake, Oracle, and AWS Redshift
Experience handling and managing AWS products such as Spark, Glue, Kafka, Elastic Search, Lambda, S3, Redshift, and others
Strong problem-solving skills with debugging, performance tuning, and AI/ML model deployment in cloud environments
Prior experience with tools like Power BI, Cognos, SQL Server, and Oracle is a strong plus
Deep understanding of data modeling, metadata management, and data governance frameworks
Experience building, scheduling, and monitoring data workflows using Apache Airflow
Solid experience in DevOps/DataOps or equivalent roles, version control platforms (such as GitHub), and continuous integration and delivery pipelines
Demonstrated experience in leading engineering projects and managing project lifecycles
Effective communication skills with technical and non-technical personnel in oral and written form
Additionally, non-technical qualifications for this role include:
Effective leadership abilities for building technical choices and steering teams towards data-driven enterprise solutions
Outstanding interpersonal skills to translate complex technical and AI concepts into business-aligned solutions
Demonstrable ability to collaborate with team members across IT, business, and AI/analytics departments
Passion for continuous learning, innovation, and staying ahead of evolving cloud, AI, and data technologies
Join Thermo Fisher Scientific as a Senior Developer and be part of a team that is dedicated to making a positive impact on a global scale by enabling customers to make the world healthier, cleaner, and safer. As a Senior Developer at Thermo Fisher Scientific, you will have the opportunity to design and develop sophisticated software solutions that contribute to improving health and environmental outcomes. Working with cutting-edge technologies across cloud platforms, data integration, AI, and enterprise systems, you will play a crucial role in delivering robust applications that power essential operations. Your responsibilities will include:
Collaborating with cross-functional teams in an agile environment to architect, implement, and optimize solutions across various platforms including AWS, Azure, ServiceNow, and enterprise systems
Driving technical innovation, supporting the growth of other developers, and establishing best practices for software development excellence
Taking ownership of the full software development lifecycle, from gathering requirements and designing solutions to deployment and continuous improvement
Developing cloud applications, creating data pipelines, and building AI-powered features to shape the future of scientific technology
Qualifications required for this role include:
Proven experience (5+ years) in data engineering with a strong understanding of modern data architecture, pipelines, and operations
Expertise in Databricks and Spark, Python, Apache, SQL, including pipeline creation, automation, and monitoring
Hands-on experience crafting and administrating relational database solutions, including AWS Delta Lake, Oracle, and AWS Redshift
Experience handling and managing AWS products such as Spark, Glue, Kafka, Elastic Search, Lambda, S3, Redshift, and others
Strong problem-solving skills with debugging, performance tuning, and AI/ML model deployment in cloud environments
Prior experience with tools like Power BI, Cognos, SQL Server, and Oracle is a strong plus
Deep understanding of data modeling, metadata management, and data g
