Seeking a forward-thinking Data Engineer with an AI-first mindset to design, develop, and deploy enterprise-grade data solutions. This role focuses on leveraging Generative and Agentic AI frameworks to drive innovation and business transformation.

You will be responsible for creating robust data pipelines, ensuring high data quality, and implementing efficient ETL processes for seamless data migration and deployment across various systems. Your contributions will be vital in enhancing the overall efficiency and reliability of our data operations.

Design and develop data solutions for data generation, collection, and processing. Create and maintain efficient data pipelines, ensuring data integrity and quality. Implement ETL processes for effective data migration and deployment across systems. Lead AI-driven solution design, applying GenAI and Agentic AI to solve business challenges. Automate processes and integrate intelligent insights into enterprise workflows. Become a subject matter expert and contribute actively to team discussions and problem-solving. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.

A minimum of 3 years of experience is required, specifically with Databricks Unified Data Analytics Platform. Possess a strong understanding of Generative AI, Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives, ensuring scalability and tangible value. Experience with Oracle PL/SQL is beneficial. A solid grasp of data modeling and database design principles is expected. Familiarity with data integration tools and ETL processes is essential. Experience with cloud platforms relevant to data engineering is a plus. Completion of 15 years of full-time education is mandatory.