for Sber's Fraud Prevention Team. Working with big data, ETL processes, and an analytical platform, including AI tools and LLM agents.
Tasks:
- Analysis of data sources
- Ensuring transparency and accuracy in data collection, reporting, and visualization
- Implementation of new integrations and analytical methodologies
- Compiling data from various sources
- Creating ETL processes
Requirements:
- SQL knowledge: complex queries, analytical functions, understanding of join physical implementation, query performance optimization
- Experience creating readable Jupyter notebooks
- Familiarity with core Python analytical libraries (pandas, numpy, scipy, statsmodels, pychart)
- Understanding of data warehouse organization principles, approaches to designing logical and physical models
- Experience working in GIT
Conditions:
- Innovative, ambitious projects and tasks that foster development
- Knowledge-sharing environment – high expertise within the team
- Cohesive team working on common goals
- Corporate communities based on interests
- Stable salary and a pleasant annual bonus
- Modern IT office near Moscow City, five minutes from "Kutuzovskaya" metro station, with a fitness room
Skills:
- SQL
- Python
- pandas
- numpy
- scipy
- statsmodels
- Jupyter
- GIT
- ETL
- Hadoop
- HDFS
- Spark
- Scala
- ML
- Data Governance
- LLM
- RAG
