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 »
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 »
Azure Data factory, Informatica) • Experience in data modelling atleast one database technology such as: • Traditional RDBMS (MS SQL Server, Oracle, PostgreSQL) • NoSQL (MongoDB, Cassandra, Neo4J, CosmosDB, Gremlin) • Understanding of Information Security principles to ensure compliant handling and management of data • Ability to clearly communicate complex solutions. • Strong problem solving 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 »
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 »
