Position: Data Architect
Company: NCube
Experience required: 5y
English level: upper

Our customer is a multinational consulting, software services, and operations company that is singularly focused on the telecom/DSP industry. They boast impressive experience and reach, with over 120 years in the industry and over 16,500 people across 64+ global locations. Cutting-edge team that delivers the best customer solutions in the media sector. They digitalise telecom companies around the world and provide various solutions for their clients.

Experience / Skills required:

Strong ‘hands-on’ experience as a Big Data Architect with a solid design/development background with Scala / Python with Spark.
Broad experience working with Design & Architecture of open-source Big Data Platform.
Wide experience in analysis, design, implementation, deployment as well as troubleshooting and rebuilding distributed Linux based Big Data solutions on premises.
Experience in continuous delivery tools and technologies (Ansible, Jenkins — CICD).
Experience working with Containers and Resource Management systems: Docker, Mesos, Kubernetes
Queues and Stream processing: Kafka Streams; Spark Streaming, Akka & Akka Streams.
Working knowledge with one of the Cloud Services — GCP/AWS.
Deep understanding of ElasticSearch stack.
Working knowledge with HDFS & Clickhouse.
Good in Agile development methodology.
Experienced in Telecom domain & Big Data Architecture design experience on: Lambda, Kappa, Data Lake.

Responsibilities:

- Senior Data Architect who will be responsible for leading Big Data Platform Development Programs  .
- In collaboration with Product Engineering, and colleagues in Service Management and Operations, work to reduce or eliminate manual or repetitive tasks.
- Aiding in identification of solution requirements and key case-studies/scenarios to architect data solution for business transformation.
- To ensure that the infrastructure is developed in a manner that supports delivery of services to multiple platforms with appropriate levels of resilience and performance.
- Conduct solution architecture review/audit calculate and present ROI.
- Development of proposals for implementation and design of scalable big data architecture, along with PO.
- Review and audit of existing solution, design, and system architecture.
- To ensure that the business has a common, consistent, and flexible platform that continuously delivers the tools, interfaces, and components that drive our products and services.
- Design and develop in-life excellence solution like Fault identification, tolerance, and recovery automations

We offer:

Competitive remuneration based on qualification and contribution
Huge and stable project (big team in Ukraine and in Germany)
Same time zone (no need to shift time)
Ability for growth
Many different projects
Business trips
Full-Time job (REMOTE) 
Flexible working schedule, vacations, paid sick leaves, English courses, regular parties
Good working environment