About The Position

The Data Engineer will design ingestion pipelines that feed analytics and AI/GenAI use cases. The role involves ingesting structured and unstructured data from multiple sources into an AWS data lake, preparing AI-ready datasets through document parsing, chunking, and embedding pipelines, and building reusable, metadata-driven ingestion frameworks.

Requirements

  • At least 4 years of experience.
  • Experience with AWS Glue, S3, Lambda, Step Functions, and Kinesis.
  • Proficiency in Python.
  • Proficiency in PySpark.

Nice To Haves

  • Experience with Bedrock.
  • Experience with vector databases.
  • Experience with OpenSearch.

Responsibilities

  • Design ingestion pipelines for analytics and AI/GenAI use cases.
  • Ingest structured and unstructured data from multiple sources into the AWS data lake.
  • Prepare AI-ready datasets, including document parsing, chunking, and embedding pipelines.
  • Build reusable, metadata-driven ingestion frameworks.
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