• 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.

Requirements

• Have strong proficiency in Python and SQL.
• Have experience designing and maintaining ETL / ELT pipelines.
• Have solid experience with data manipulation libraries such as Pandas and NumPy.
• Have experience working with structured and semi-structured datasets...