Key Responsibilities

• Design, develop, and maintain scalable data architectures for structured and unstructured data including text, images, audio, and video.
• Build and optimize enterprise ETL/ELT pipelines using Python, SQL, Spark/PySpark, and Databricks.
• Integrate and process data from enterprise platforms such as SAP, Oracle, Azure Data Lake, and other cloud/on-prem systems.
• Develop high-performance data pipelines to support AI/ML, computer vision, predictive analytics, and Generative AI use cases.
• Implement large-scale image and video preprocessing workflows for AI-driven applications.
• Work with feature stores, vector databases, embeddings, and LLM-based data workflows.
• Ensure data quality, governance, lineage tracking, metadata management, and security compliance across platforms.
• Collaborate with AI engineers, data scientists, and cross-functional teams to deliver production-ready data solutions.