code review). * Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR, GCP DataProc or GCP Cloud Data Fusion. * NoSQL Databases. Dynamo DB/Neo4j/Elastic, Google Cloud Datastore. * BigQuery and Data Studio/Looker. * Snowflake Data Warehouse/Platform * Streaming technologies and processing engines, Kinesis, Kafka, Pub more »
code review). • Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR, GCP DataProc or GCP Cloud Data Fusion. • NoSQL Databases. Dynamo DB/Neo4j/Elastic, Google Cloud Datastore. • BigQuery and Data Studio/Looker. • Snowflake Data Warehouse/Platform • Streaming technologies and processing engines, Kinesis, Kafka, Pub more »
you have experience in Hadoop ecosystem (Spark, Kafka, HDFS, Hive, HBase, …), Docker and orchestration platform (Kubernetes, Openshift, AKS, GKE...), and noSQL Databases (MongoDB, Cassandra, Neo4j) • Any experience with cloud platforms such as AWS, Azure and Google Cloud is a real asset. • You have experience in working closely with business more »
no data science experience required). Experience working on production-level microservices (Docker/Kubernetes) and cloud infrastructure. Experience working with Databases, Postgres, Redshift, Neo4j would be a plus. Why You Should Join The position will be at the intersection of data science and development operations. The candidate would more »
big data products i.e.Hadoop Hive, Pig, Impala or similar Have experience with Open Source non-relational or NoSQL data repositories such as:MongoDB, Cassandra, Neo4J or similar Be confident with your ability working with structured and unstructured data including imaging & geospatial data Understand working in aDevOps environment with object more »
London, England, United Kingdom Hybrid / WFH Options
BenchSci
background in knowledge engineering with a proven track record building and deploying large scalable performant knowledge graphs using graph databases and associated technologies (e.g., Neo4j, Amazon Neptune, TigerGraph, JanusGraph, ArangoDB, and OrientDB). Deep understanding of when and how to deploy different knowledge graph-related technologies such as labeled more »
