We're looking for an experienced Big Data Engineer, with a HO attitude to build our next generation scalable big data processing and analytics systems in the cloud. We work with various Big Data technologies such as Spark, Kafka, Druid, and ElasticSearch (and more), and we’re looking for you..
Java & Big Data is a MUST- which means in our case that Spark is a must.
Totango is a customer success platform that helps recurring revenue businesses simplify the complexities of customer success by connecting the dots of customer data, actively monitoring customer health changes, and driving proactive engagements. Leading companies use Totango to reduce churn, grow predictable revenue, and maximize customer value over time.
Who can easily cope with the tasks
5+ years of experience in engineering for Enterprise products- mainly in a startup environment
Experience in Complex processing workloads with Spark
HO Experienced in Java- mandatory
Experienced in planning and building scalable real-time data systems
Enthusiastic about performant web-scale & complex systems and flows
Meticulous about scalability and security
Well-founded in data-structures and analytical problem solving
B.Sc. or M.Sc. in Computer Science / Engineering / Bioinformatics, or equivalent
This will be a plus, not a mandatory experience
Experience in building microservice-based architecture
Expertise with Amazon Web Services ecosystem
Experience with ElasticSearch or other search engine technologies
HO Experienced in Kotlin/Scala or similar
Familiarity with building microservices using Akka, Vert.x, or similar
Knowledge with DynamoDB, Cassandra, MongoDB, or other NoSQL databases
We will love and appreciate you, join our team.
About King's Choice
King’s Choice is a recruitment agency, specialized in search and placement of specialists in IT Industry. We build our work mainly with product development companies (Web services, Software development, Mobile, Gaming, etc.) which are operating in the European and NorthAmerican markets. We are searching for the candidates, who are either ready to relocate or to work locally.
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