ML/Cloud based system that efficiently analyzes collected data to predict/prevent/troubleshoot system failures and performance issues in smart-devices

Multi-tenancy & medium-high data volume processing
Data collected from smart devices is accessed from cloud (AWS) storage and undergoes translation from device-specific schema, file formats, etc and transformations such as selection of relevant data and features before being applied to a ML model training subsystem; qualified models are then pushed to production environment for prediction/execution. Data handling employs scalable spark-based access. The entire processing workflow is kept in sync via pipelines defined in airflow.
The state of the entire data engineering (& ML models, training and execution) is available via Dashboard UI

Responsibilities:
• Bring Spark Big Data expertise to a local Scrum team, providing qualified deliverables and services on schedule.
• Participate in progress reviews
• Work with scrum master(s), tech lead(s) to analyze and understand user stories in each sprint
• Complete coding & unit testing for the allotted stories
• Create design documents or make changes to existing ones
• Complete code reviews

Mandatory Skills:
Apache Spark, Java, Spring Boot, Microservices

About Luxoft

Luxoft is a high-end application outsourcing provider of choice and a trusted technology advisor to Global 2000 and medium-sized growth companies that apply compelling technologies to obtain leadership positions in their respective markets.
Luxoft today finds the Best talents, proposes career growth & employment benefits. Our teams are involved in high complicity & innovative projects for the Top leaders companies around the Globe.

Company website:
https://www.luxoft.ru

DOU company page:
https://jobs.dou.ua/companies/luxoft/

Job posted on 13 October 2020
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