Senior Data Engineer
Core
Design, develop, and maintain scalable data pipelines and platforms to support global IT solutions, business analytics, and reporting needs for Fisher Scientific Research Safety Division.
Role type
Senior Data Engineer (Data Platform & Analytics)
Builds
Global IT data solutions, data ingestion/processing pipelines, reusable data frameworks, and analytical data models.
Domain
Life Sciences / Supply Chain / Manufacturing / Data Engineering
Required skills
SQL, Python, Scala, Java, Apache Spark, Hadoop/Hive, Kafka, Cloud platforms (AWS/GCP/Azure), Data Modeling, ETL, Distributed Systems
Preferred skills
Master's degree, Supply Chain/Operations/Manufacturing domain experience, Google Cloud Platform, Microsoft Azure
Technologies
AWS, GCP, Azure, Apache Spark, Hadoop, Hive, Kafka, Python, Scala, Java
Responsibilities
Design and build reusable data components and frameworks at scale; Implement robust data ingestion, processing, and production pipelines; Perform data modeling and schema design for business analytics; Monitor and optimize data solution performance and ETL processes; Support hypercare, knowledge transfer, and adoption of data solutions.
Seniority
Senior, hands-on IC
