At SberData, we are building a centralized data warehouse for the entire Sber. This involves over 800 data sources and 100+ PB of information, with data ordering and retrieval in 15 minutes, and a modern data technology stack, including our own DBMS builds based on Hadoop and Greenplum.
Directional Tasks:
- Organization and execution of data increment loads from automated source systems
- Organization and execution of archival data reloads
- Analysis and resolution of incidents and problems related to data loading
- Analysis and optimization of resource usage for data loading.
Candidate Responsibilities:
- Support of data warehouses on the Hadoop platform
- Organization and monitoring of data loading from source systems
- Planning and conducting implementations
- Analysis and troubleshooting of incidents.
What is important to us:
- Higher technical education
- Work experience in support
- Basic knowledge of Linux and console operations
- SQL knowledge
- Skills in working with generative AI models; experience in creating AI agents and using them in work will be an advantage.
A plus would be:
- RHEL administration experience
- Knowledge of ITIL/ITSM
- Knowledge of one of the programming languages - Java, Bash, Python
- Experience with Hadoop: HDFS, Hive, Spark.
Working Conditions:
- Office at pr. Lenina 17
- Work schedule: shifted 5/2, from 9:00 to 18:00 local time
- Over 400 educational programs from SberUniversity for professional and career development
- Extended voluntary medical insurance, preferential insurance for family, and a corporate pension program
- Free SberPrime+ subscription, discounts on products from partner companies
- Referral bonuses for recommending friends to the Sber team.
