Senior Big Data Engineer

What You'll Be Doing
Be a significant part of our data operation – help our fraud detection engine make sub-second decisions, support our model training pipeline, ingesting terabytes of data and provide near real-time BI and analytics to our customers
Architect highly scalable data solutions for diversified and complex data flows
Build and develop high-performance, near real-time ETL processes
Administer COMPANY data infrastructures including: Postgresql, Redshift, Elasticsearch, DynamoDB, MongoDB, redis, Amazon Kinesis and more
Perform benchmarks for new technologies
Qualifications
BSc Computer Science/Data Management or Mamram (IDF)
At least 4 years of experience with server side development in a large scale deployment.
Experience with Ruby/Scala – an advantage
Experience working with NoSQL databases such as Elasticsearch/Cassandra/DynamoDB/redis etc
Familiarity with relational databases and SQL
Experience in additional big data technologies – for example, Spark/Kafka/Hadoop – strong advantage
DevOps skills such as docker, Kubernetes, CloudFormation etc – strong advantage
Experience in AWS cloud – strong advantage