Design, develop and maintain scalable data systems that enable the organization to store, process, and analyze large volumes of structured and unstructured data used for analytics and AI use cases.
Build and operate reliable data pipelines and platform that support batch and streaming workloads, ensuring data freshness, accuracy, and completeness.
Manage data lakes and data warehouses by populating and operationalizing them, including designing and creating data‑marts, tokenization and vectorization techniques to support Gen AI use cases.
Leverage modern build tools and AI to enhance automation, data quality, testing, and deployment of data pipelines.
Design and implement cloud‑based data infrastructure in alignment with the company’s security, governance, and cost‑optimization policies.
Collaborate with data scientists, data analysts, analytics engineers, data product managers, and business users to understan...