Job Description

Experience Level: 6-7years

Key Responsibilities

  • Data and AI Engineering lead for large and complex data ecosystem leveraging data domains, data products, cloud and modern technology stack
  • Real-Time Data Streaming: Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar.
  • Data and AI Engineering lead responsible for Implementing Data and AI pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready.
  • Develop Data and AI-driven systems to improve data capabilities, ensuring compliance with industry best practices.
  • Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytic...

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