Description

Build and maintain scalable ETL pipelines for data ingestion, transformation, and delivery to support analytics and AI-driven use cases.

This role is on-site.

Responsibilities

• Design and develop Python-based ETL pipelines for structured and unstructured data sources.
• Ensure data quality, reliability, and performance across large-scale datasets.
• Support AI/ML workflows including data preparation, feature engineering, and model deployment.
• Troubleshoot pipeline issues and optimize processing efficiency.
• Create and maintain technical documentation for workflows and implementation details.

Required Skills

• 5+ years of experience in Data Engineering or ETL Development.
• Strong hands-on proficiency with Python for data processing.
• Experience designing and maintaining data pipelines in cloud or distributed environments.
• 1+ years supporting AI/ML development workflows, including data preparation and integration.
• Strong troubleshooting and debugging skills for large-scale data systems.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.

Preferred Skills

• Experience with enterprise AI tools, LLM orchestration, or prompt engineering.
• Experience collaborating with cross-functional teams including Product and Data Science.
• Familiarity with regulated data environments.

Key Skills

Education

Bachelor's degree