Data Engineer (SC Cleared)
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Data Engineer, Hadoop, HDFS, HBase, Kafka, Kerberos, Drools, Graph DBs, Big Data Architecture, Real time Data processing, Spark, Storm, Solr, Java 8, Algorithms, Data Science, Systems Engineering, REST, TDD, BDD, Micro services architecture
SC cleared Data Engineer - Public Sector
Our Public Sector client based in London are looking for an SC cleared data engineer, as well as a Senior Data Engineer, also with SC clearance. The developer will need to be an SME in: Hadoop / HDFS, HBase, Kafka, Kerberos, Drools, Graph DBs, Big data architecture, Real time data processing, Spark, Storm, Solr, Java 8, Algorithms, Data Science, Systems Engineering, ZooKeeper, Spring / Spring Boot and spring data rest, REST, TDD , BDD (specifically Cucumber), Microservices architecture, GitHub / GitLab, use of branching and merging strategies, Clean code
The successful applicant must have experience working within a Scrum team and be familiar with CI development techniques and environments. The role is outside scope of IR35
Key Skills / Experience
* Hadoop / HDFS
* HBase, Kafka, Kerberos, Drools
* Graph DBs
* Big data architecture, Real time data processing, Spark, Storm
* Solr
* Java 8, Algorithms, Data Science, Systems Engineering
* ZooKeeper
* Spring / Spring Boot and spring data rest
* REST
* TDD
* BDD (specifically Cucumber)
* Microservices architecture
* Fluent in English and have good communication skills
* Scrum Team Working Experience
* Familiar with CI development techniques and environments.
* Postgres
* Apache Camel, Knox, Ranger
* Enterprise Integration Patterns
* Kubernetes
* Docker
* Ansible, Terraform
* JIRA
* Confluence