delivering moderate-to-complex data flows as part of a development team in collaboration with others. You’ll be confident using technologies such as: Apache Kafka, Apache NiFi, SAS DI Studio, or other data integration platforms. You can implement, deliver, and translate several data models, including unstructured data … and recognised standards to build solutions using various traditional or big data languages such as: SQL, PL/SQL, SAS Macro Language, Python, Scala, Apache Spark, Java, JavaScript etc, using various tools including SAS, Hue (Hive/Impala), Kibana (Elastic Search). Knowledge of data management on Cloud more »
and tooling used across the engineering teamRequirements:5-7 years of Java experienceCapital markets Front office experienceExperience working with Data lake (Hadoop) consumption, specifically Hive experienceKafka experienceRules engine experience (Ideally open source/vendor products, e.g. Drools or Camunda)Unix scripting knowledgeMarkets Regulatory/Trade control knowledgeAutomation experienceCloud experienceContainerisation more »
and troubleshooting of cloud systems.- Operational experience running a 24x7 production infrastructure at scale.- Proficiency working with data structures, schemas, and technologies like Hadoop, Hive, Redis, and MySQL- Experience in using cloud-native services like GKE, EKS, AWS/GCP load balancing, AWS/GCP cloud storage platforms (S3 more »
