Data Engineer

Status:
New
Job Reference:
JO0000000632

Salary:
£65,000 - £90,000

Data Engineer – London
 
Are you an experienced Data Engineer looking for a new challenge? Do you want to work for a solutions provider with a range of exciting greenfield projects? Are you looking for a role with genuine scope for progression and a great work-life balance?
An analytics house based in central London is actively seeking a Data Engineer  to join a team responsible for a number of business-critical projects dealing with a range of technical solutions.
Our client is a dynamic technology company that is focused on business analytics and planning. They take an innovative approach to making complex solutions simple so their clients can focus on running their businesses. Their services and applications enable clients to gain the benefits of world-class analytics and planning capability without the headaches.
 
What we offer
 
·Basic salary – £65-90k
·MacBook Pro
·Work from home policies
·Relaxed working environment
·Hands-on training on Ontology technologies
·Unlimited professional certifications on Ontology technologies
·Unlimited access to SafariBooksOnline, Cloud Academy, Linux Academy, Coursera for Enterprise and a few others
·Health and life insurance
 
 
What you must have
 
·Computer Science or equivalent academic background.
·Experience in at least one of the following programming languages Java, Scala, Python.
·Experience in GCP (Preferred), AWS or Azure.
·Fluent in English written and spoken.
 
What we are looking for….Experience or enthusiasm to learn
 
·Modern Data architectures: Data Fabric, Virtualisation, Federation, Unification, Lakes, and Decentralised architectures
·Distributed and decentralised files systems: HDFS, IPFS, Gluster, Ceph, MinIO
·Distributed Stream-processing: Kafka, Storm, Flink and Spark
·Automation CI/CD: Docker, Kubernetes
·Semi-Structured data stores and DBs: Redis, Elasticsearch, InfluxDb, MongoDB, Cassandra, Vitesse, Rook, etcd, TiKV, RocksDB
·In-memory distributed computing: Alluxio, Presto
·Serverless Openwhisk, Knative
·Cloud-Native Applications:- Istio, gRPC, GraphQL
·Micro-services architectures Service Mesh, API Gateway, and Message Queue
 
Nice to have
 
·Google Certification Cloud Architect.
·Property and Knowledge Graphs – Neo4J, TigerGraph, Stardog
·ELT and stream data pipelines: Talend, Airflow, and Streamlio
 
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