Description
SberData is responsible for developing the data platform at Sber. We have over 230 Petabytes of data, about a hundred products and services for customers. We create our own platform builds as part of vendor replacement and actively collaborate with all of Sber's business units to solve their business tasks: our users have already created over 6,500 data marts.
SberData implements best practices for working with data, reduces the cost of data storage, increases data retrieval speed, and implements AI technologies. Over 30 thousand people use our solutions.
Responsibilities
Tasks:
- user support: Kubernetes, Argo Workflows, Apache Spark
- improving existing DevOps pipelines, automating routine tasks (Bash / Python / Jenkins)
- writing and maintaining documentation up to date
- gathering and analyzing user feedback.
Requirements
We expect from you:
- experience working with Kubernetes, including Dockerfile, Helm, Istio - from 2 years
- experience working with or familiarity with Apache Spark and the Hadoop ecosystem
- experience writing user documentation.
Will be a plus:
- experience in Data/AI/ML products or infrastructure teams
- ability to read code (Java / TypeScript / Python / Go)
- knowledge of software development principles, software lifecycle.
Conditions
We offer:
- comfortable modern office: Danilovsky Fort Business Center, near Tulskaya metro station, Verkhnie Kotly
- ability to choose a convenient schedule – office/hybrid
- annual salary review, annual bonus
- corporate gym and recreation areas
- more than 400 educational programs from SberUniversity for professional and career development
- extended voluntary health insurance, preferential insurance for family and corporate pension program
- flexible mortgage discount, equal to 1/3 of the Central Bank's key rate
- free SberPrime+ subscription, discounts on products from partner companies
- referral bonus for recommending friends to the Sber team.