Responsibilities

• Design, develop, and maintain data pipelines to ingest, transform, and serve data from multiple sources.
• Support batch and near-real-time data processing, ensuring data accuracy, freshness, and reliability.
• Assist in managing and optimizing data lakes, lakehouses, and data warehouses.
• Develop and optimize SQL and Python-based transformations for reporting and analytics.
• Implement basic data quality checks, logging, and monitoring.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
• Participate in code reviews, testing, documentation, and CI/CD processes.
• Continuously learn and adopt modern data engineering and AI-enabled data practices.

Key Technical Skills & Responsibilities

• Strong working knowledge of Python and SQL for data processing.
• Experience building ETL/ELT pipelines using ...