Thermo Fisher Scientific seeks a Data Engineer II to strengthen enterprise data platform capabilities by building and optimizing data pipelines for analytics and reporting. The role involves collaborating across teams to deliver cloud-based data solutions using AWS or Azure in an agile environment.
Responsibilities
Design and execute source-to-target data analysis and mappings
Build, test, and optimize data pipelines for batch and real-time processing
Collaborate with developers, analysts, and admins on data engineering deliverables
Support enterprise data platform architecture evolution and roadmap planning
Ensure data quality and integrity across data warehouse and AWS platforms
Requirements
4+ years work experience with 3+ years in data solutions delivery
2+ years building cloud BI solutions on AWS or Azure
4+ years programming in SQL, PySpark, and Python
Experience with agile methodologies, DevOps, DataOps, and DevSecOps
Proven expertise with Large Language Models and retrieval-augmented generation
Strong analysis, documentation, and cross-functional communication skills
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