3+ years building cloud bi solutions on aws or azure
The role involves strengthening data engineering capabilities by delivering pipelines through the Enterprise Data Platform for various groups within ThermoFisher Scientific
Job Summary
The role involves strengthening data engineering capabilities by delivering pipelines through the Enterprise Data Platform for various groups within ThermoFisher Scientific.
Candidates must possess proven experience in developing Large Language Model applications to enhance data engineering productivity.
The team operates within an Agile environment, collaborating across multiple regions to drive delivery cycles and ensure data integrity.
Matching Summary
The role involves strengthening data engineering capabilities by delivering pipelines through the Enterprise Data Platform for various groups within ThermoFisher Scientific.
Skills & Requirements
Must-have
6+ years overall work experience
4+ years delivering data solutions
3+ years building Cloud BI solutions on AWS or Azure
4+ years programming in SQL, Pyspark, and Python
Experience with Agile, DevOps, Data Ops, and Dev Sec Ops
Knowledge of Large Language Models and LLM applications
Nice-to-have
Hands-on experience with Snowflake or Azure data engineering
Experience building data pipelines in Databricks
Data visualization using Power BI or Tableau
Knowledge of NoSQL databases like MongoDB and Cassandra