1-й в Украине сертификационный курс по UX от UXQB — крупнейшего в мире комьюнити UX специалистов
Xenoss is software development lab focused on building data-driven solution for marketing and advertising industry. We build audience statistics trackers, user behaviour prediction systems, user journey optimization solutions, DMP/DSP/SSP systems, location data processing systems, email automation systems, segment builders, etc.
8 ноября 2018

Backend Java engineer for big data project

Киев, удаленно $3000–5000

Необходимые навыки

— 3+ years of experience with Java
— Software design skills, design patterns: GoF, Enterprise
— RDBMS and noSQL databases
— Advanced Linux user (shell scripting)
— Good English
— Spring
— Spark
— Hadoop/EMR
— Python good enough to work with Luigi/Spark

Do not hesitate to apply if you are missing some specific experience. We will be happy to help you with gaining one.

Будет плюсом

— Algorithmic background
— Experience with high-load, horizontally scalable solutions
— Experience in working with big data, large datasets
— Experience with AWS, Azure, Google Cloud
— Docker, Kubernetes
— Basic Scala
— Basic Python

Предлагаем

— Above-market salary
— Great experience and professional growth by working on challenging projects. Really.
— Flexible working hours
— Unlimited work-from-home option
— Various snacks, tea, coffee and fresh fruits in the office
— Paid vacation and seek-period
— Trips to London

Обязанности

You’ll be building systems which collect, extract, transform and apply audience data and extract knowledge for various advertising optimization solutions.

О проекте

You’ll be working on big data project aimed to implement audience behavior analysis solution for leading British AdTech company.
Company platform provides businesses with accurate location data and in-depth behavioral insights to serve digital content to audiences that are on the go.
You’ll work with really big data. You’ll be building systems which collect, extract, transform and apply audience data and extract knowledge for various advertising optimization solutions.
Software stack will include modern technologies including Java, Scala, Spark, EMR, AWS.
Building technology for smart advertising solutions is one of the biggest modern challenges there is. Making ads to be more targeted more sophisticated, less intrusive will benefit advertisers and their clients big time by creating next-generation quality ads solutions.

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