solutions Embrace industry best practices like continuous integration, continuous deployment, automated testing, TDD etc Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld … required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI more »
solutions Embrace industry best practices like continuous integration, continuous deployment, automated testing, TDD etc Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld … required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI more »
with analytic tools like R & Python; & visualization tools like Tableau & Power BI Exposure to cloud platforms and big data systems such as HadoopHDFS, and Hive is a plus Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes Graduate in Business more »
Chicago, Illinois, United States Hybrid / WFH Options
Request Technology - Robyn Honquest
required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Experience working with various types of databases like Relational, NoSQL, Object-based, Graph more »
the following tools: Informatica PowerCenter, SAS Data Integration Studio, Microsoft SSIS, Ab Initio, etc. • Ideally, 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 more »
