Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Google BigQuery
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years
Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems, contributing to the overall efficiency and effectiveness of data management within the organization. Roles & Responsibilities: - Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. - Expected to be a Subject Matter Expert with deep knowledge and experience. - Should have influencing and advisory skills. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Mentor junior professionals in best practices for data engineering and ETL processes. - Continuously evaluate and improve data processing workflows to enhance performance and reliability. Professional & Technical Skills: - Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization. - Must To Have Skills: Proficiency in Google BigQuery. - Good To Have Skills: Experience with data warehousing solutions. - Strong understanding of data modeling concepts and techniques. - Familiarity with cloud-based data storage and processing services. - Experience in programming languages such as Python or SQL for data manipulation. Additional Information: - The candidate should have minimum 15 years of experience in Google BigQuery. - This position is based at our Hyderabad office. - A 15 years is required.15 years
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