Description
The team is engaged in collecting high-quality data, which is fundamentally important for training advanced AI models.
Responsibilities
- implement custom crawlers
- ensure interaction with clients regarding data loading issues
- configure data loading tasks according to customer requirements, considering system capabilities
- monitor and verify the results of loading task execution
- proactively identify dependencies and limitations during task execution
- timely identify and escalate emerging problems, the ability to propose and implement one's own ideas for automating and improving work processes
Requirements
- knowledge and experience in Python development, experience working with various databases and storages (S3), understanding of the main processes of support team organization
- ability to prioritize and handle multiple tasks simultaneously
- well-developed analytical skills, ability to draw conclusions and visualize results, ability to find information and causal relationships, proficient use of Excel (data processing and creating pivot tables, data aggregation, calculations)
- ability or desire to learn how to use Jira, task trackers, Confluence, or other collaborative systems and knowledge bases
Conditions
- comfortable modern office near Kutuzovskaya metro station
- hybrid work format
- annual salary review, annual bonus
- corporate gym and recreation areas
- training system for professional and career development
- extended voluntary health insurance (VHI) policy from the first day of work and insurance for family
- employee mortgage program
- free SberPrime+ subscription, discounts on products from partner companies
- reward for recommending friends to the Sber team.
