Description

You will build and maintain the core data infrastructure supporting AI and ML model development.

Responsibilities

• Design, construct, and maintain foundational ETL/ELT data pipelines.
• Clean, transform, and aggregate data to prepare datasets for ML applications.
• Execute routine data quality checks and write basic tests for data integrity.
• Support the management of data storage solutions, including data warehouses and data lakes.
• Document data sources, pipeline logic, and data models.

Required Skills

• 5+ years of professional experience.
• Proficiency in SQL for data querying and manipulation.
• Proficiency in Python for scripting and data processing.
• Conceptual understanding of ETL Processes.
• Working knowledge of Data Modeling concepts.
• Familiarity with database concepts.
• Strong analytical and problem-solving abilities.

Key Skills

Education

Any Graduate