Design and build next generation best on market e-commerce data platform;
Build and maintain reliable and scalable enterprise level distributed transactional data processing systems for scaling the existing business and supporting new business initiatives;
Optimize jobs to utilize Kafka, Hadoop, Spark resources in the most efficient way;
Monitor and provide transparency into data quality across systems (accuracy, consistency, completeness, etc);
Increase accessibility and effectiveness of data (work with analysts, data scientists, and developers to build/deploy tools and datasets that fit their use cases);
Perform code review;
Provide mentorship and guidance to junior team members.
Experience in Hadoop stack (YARN, HDFS, HBase, Hive);
Experience in Spark;
Knowledge of version control systems (git);
Experience in Python;
Strong understanding of RDBMS, SQL;
Experience in Docker, Kubernetes is a plus;
Passion for engineering and computer science around data.
Official employment, social package;
Flexible working hours, it is possible to plan working and personal time, remote employment;
Challenging and engaging atmosphere in a team of professionals;
Discounts on the entire range of products;
Education of our employees: we share knowledge within the company, organizing internal meetings and taking part in external events;
Attending at the conferences as listeners and speakers (for those who want to prepare professionally for presentations with reports or presentations we have Speakers Club);
Relocation package for candidates living outside Moscow and Moscow region;
A comfortable office in Moscow (MCC Khoroshevo / m. Polezhaevskaya) with activities like table tennis, kicker, gym and yoga.