Position: Senior QA Automation Engineer (Big Data direction)
Company: NCube
Experience required: 3y
English level: intermediate

Our client is 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. Powered by disruptive technologies, re-imagined strategies, and strategic partnerships, their company enables Digital Service Providers (DSPs) to adapt to the future and achieve a competitive advantage. Digitization, BI & analytics, mobility, and cloud are some of the crucial technologies that help DSPs to generate substantial growth and profit.

Requirements:

3+ years of QA Automation experience
Experience and knowledge of the programming languages: Python or Scala
Experience working in Big Data Pipeline Testing
Understanding of CI/CD (Continuous Integrations and Deployment) system solutions (Jenkins & configuring pipelines)
Experience working with Docker, Elastic Search & Kibana
Upper-Intermediate English skills for direct communication with the team

Good to have:

Big Data Basic knowledge on Hadoop Ecosystem & HDFS, Spark & Kafka
Knowledge in Bash Scripting

Responsibilities:

Guality assessment of a large volume of real-time data streaming applications and pipelines used for telemetry on several million devices
Develop test plan and test strategy to ensure delivery quality, for Big Data environment
Come up with test cases to begin with and prioritize to fit the timeline
Play a key role in the data governance processes including data preparation, generation, and data quality control
Communicate the data quality results and collaborating closely with other teams involved in the development process
Analyze, troubleshoot, and document problems/observations, and working with the project teams to identify the root causes and resolutions
Maintain quality assurance environments, ensuring code synchronization with production
Support customer inquiries on data quality issues and data consumption.

We offer:

Excellent career opportunities
Flexible working schedule, paid vacations and sick leaves
English courses, medical insurance
Great working environment and team spirit
Perfect office location in the very center of Kiev / possibility to work remotely