2 of 2 PySpark Jobs in Cambridge

Sciences value chain. Core Architecture: Expertise in Data Modernization, Microservices, Cloud Architecture, and Lakehouse patterns. Data & AI: Deep hands-on proficiency in Databricks (Spark, PySpark, DLT), GenAI (Agent Core, Copilot Studio, Amazon Bedrock), and Graph Databases (Neo4j). Cloud & Tools: Strong command of AWS (Lambda, Glue, EMR, MWAA ...

from multiple sources Experience with Databricks (or similar modern data platforms) Working experience with notebooks and Python data libraries and processing frameworks (e.g. Pandas, PySpark) Understanding of deployment, CI/CD, orchestration and application support practices. What’s in it for you? – Our client loves to reward their people ...