When you’re part of Thermo Fisher Scientific, you’ll do challenging work, and be part of a team that values performance, quality and innovation. As part of a successful, growing global organization, you will be encouraged to perform at your best. With revenues of more than $40 billion and the largest investment in R&D in the industry, we give our people the resources and opportunities to make significant contributions to the world.
Location/Division Specific Information
Business Intelligence Delivery and Operations team is part of corporate IT function under Enterprise Technology Organization. BI Team is responsible for data service, data lake and analytics services for internal customers of Thermo Fisher Scientific
How will you make an impact?
The Data engineer Developer role provides an opportunity for data job seekers who currently hold a data science, data analytics, computer engineering, or like engineering degree. Individuals will be working with team of data analyst, data engineers in a fast-paced bi analytics environment. The candidate will contribute to development projects, pilots and advance best design practices.
AI & Data Solutioning: Support the prototyping, testing, and implementation of data and AI use cases using Databricks, SAP Business AI, or any cloud AI services
( aws or azure)
Data Engineering & Modeling: Participate in data acquisition, cleansing, transformation, and mapping to build clean data models for Analytical reporting and AI applications or use cases within SAP and non-SAP ecosystem.
