Senior Data Engineer for product company (offline)

What’s in it for you?
• Working with latest cutting-edge data streaming technologies
• Helping to disrupt a century old industry in a startup environment
• Having direct influence in how we build our data streaming platform
• Opportunity to grow and develop your core skills
• Deliver a green field system
• Work with a diverse multicultural team in an agile environment
• Variety of knowledge sharing and self-development opportunities
• Competitive salary
• State of the art, cool, centrally located offices with warm atmosphere, which creates good working conditions
• Opportunity to travel to the London office
• Occasional visits to vessels to observe how our software and hardware is being used in the real world
• Experience firsthand the squad-chapter-guild workflow model, our version of the Spotify model


Responsibilities:
• You will work closely with the CTO
• Contribute to data pipeline design, development and monitoring
• Develop Java based Kafka Stream applications
• Supervise production managed Kafka and Elasticsearch clusters
• Conform to the Company wide code standards and tech culture
• Responsible for full lifecycle of data pipelines. Developers will take the services they build from design, through implementation and into production.
• Designing solutions for monitor data pipelines operations with proper alerting

Requirements:
• Full hands-on development experience
• Proficiency in:
o Java and/or Golang
o Develop with the latest Java version, build with Gradle and test and deploy your own code into production
o Experience using Kafka technologies (Kafka Streams DSL, Processor API, Kafka Connect, Avro Schema Registry)
o Elasticsearch
o Code & systems testing
o RDBMS and NoSQL databases
o Kubernetes and Docker
o Advanced use of git
o Use of Unix/Linux shell commands
o Microservices architecture concepts
o Event driven paradigm
o Evaluating/designing/building data solutions for operations & support (I.e. metrics, tracing, logging)
• Understanding:
o Protobuf/gRPC
o Best practices in scaling & monitoring data pipelines

Nice to have:
• AWS stack experience
• Ability to perform basic devops tasks
• Python and related data science packages such as pandas/numpy/scikit-learn
• Basic data analysis techniques
• Understanding of statistics

Experience:
Demonstrated track record and proficiency in the points below:
• Deliver features autonomously with a high degree of team coordination
• Deliver code based on precise architecture spec as well as without relying on precise architecture spec or requirements
• Automated testing
• Working with CI and GitOps practices
• Delivering code to production
• Maintaining production ready code
• Collaborating in small but fast paced teams
• Event driven architecture and message passing
More about you:
• Good level of English
• Willingness to learn and open mind about new technologies
• Confident to operate in a fast-paced environment
• A collaborative approach and willingness to engage in an environment of active idea sharing
• Ability to learn autonomously
• Excellent all-round communications skills

About Freelancer Roman Shevchenko

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