onsite
AI Engineer - Cognizant
AI Engineer
AI Engineer with 3+ years of hands‑on AI development, building scalable data pipelines, automating workflows, and integrating AI into data engineering using Python, Airflow, Pandas, SQLAlchemy, PySpark, and XML processing.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines that integrate AI capabilities into data engineering workflows.
- Automate data processing and validation tasks using Apache Airflow, ensuring reliability and repeatability.
- Write efficient Python scripts leveraging Pandas, SQLAlchemy, Requests, and PySpark for data transformation and analysis.
- Parse, transform, and manage XML-based data formats within Informatica and custom Python utilities.
- Develop reusable validation frameworks and monitoring solutions to guarantee data quality and pipeline health.
- Collaborate with cross‑functional teams to understand business requirements and translate them into technical solutions.
Requirements
- 3+ years of professional experience in AI development and data engineering.
- Strong proficiency in Python and experience with Pandas, SQLAlchemy, and PySpark.
- Hands‑on experience with Apache Airflow for workflow orchestration.
- Solid understanding of XML data handling and integration with Informatica.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.