Position: Data Scientist
Company: Luxoft
Experience required: 3y
English level: upper

We are pleased to announce new vacancy opening in the Luxoft Media department. Our department runs a variety of small, medium and large accounts in multiple domains internationally, like Mass Media, Social Networks, Video streaming, Mobile communications, offering versatile and challenging opportunities for those who seek continuous professional development within very strong teams.
In Media, we are striving to employ cutting-edge technologies and approaches whenever possible. Most of our Customers come from the USA, UK, Australia, Japan, and Western Europe, hence satisfactory English command is a must.
Our Customer is among the world's leading creators and distributors of award-winning still imagery, video, and multimedia products, as well as other forms of premium digital content, available through its trusted house of brands, including Image.net©, iStock©, and others. The project targets to enhance and further develop an advanced media management platform, to help our Customer to serve business customers in more than 100 countries and continue to be the first place media professionals to discover, purchase and manage digital content. You will have an opportunity to work alongside the best-in-class photographers and imagery (business trips to Seattle, USA are planned) that help customers produce inspiring work which appears every day in the world's most influential newspapers, magazines, advertising campaigns, films, television programs, books and online media.
Responsibilities:
Design, implementation, and maintenance of products using Python, Java or Scala
Design implement and maintain big data solutions using Spark and/or Hive
Rapidly build, iterate, test, and deploy new features and products and main a high-quality robust codebase
Improve and scale the existing products and tools
Launch new projects from ideation to completion
Exposure or Experience in AWS cloud technologies is a plus
Mandatory Skills Description:
6+ years of professional programming experience (Python/Java/Scala)
3+ years of professional experience in Spark, Spark Streaming, Hive, and any other big data technologies
Strong experience with relational and/or NoSQL databases
Strong experience with cloud-based infrastructure
Comfort with Linux/Unix command line
Experience working closely with design and PM individuals/teams
Nice-to-Have Skills:
terraform, cloud formation
Kafka
Data science frameworks
Languages:
English: B2 Upper Intermediate Russian: C2 Proficient Ukrainian: C1 Advanced