Описание
No description
Задачи
•Design, build, and maintain scalable data pipelines to ingest, process, and transform data from multiple sources
•Collaborate with AI researchers and data scientists to structure and prepare datasets for experimentation and model training
•Develop and maintain data models, schemas, and storage systems optimized for large-scale datasets
•Write efficient SQL queries and Python scripts to extract, transform, and analyze data
•Ensure data quality, integrity, and reliability across data pipelines and storage layers
•Implement data validation, monitoring, and automation workflows that support iterative research cycles
Требования
•Strong proficiency in Python and SQL
•Experience designing and maintaining ETL / ELT pipelines
•Solid experience with data manipulation libraries such as Pandas and NumPy
•Experience working with structured and semi-structured datasets
•Familiarity with relational databases such as PostgreSQL or MySQL
Условия
Contract
