Job Description

  • 10+ years building ETL / ELT pipelines and workflow processing
  • 5–8 years hands-on experience with cloud data platforms (AWS preferred)
  • 5–8 years working with unstructured text data (documents, APIs, standards)
  • Strong understanding of semantic search, embeddings & vector stores (chunking strategies)
  • Apache Airflow (or equivalent) for orchestration, dependencies & monitoring
  • 3–5 years supporting AI/ML or GenAI solutions

Nice to Have

  • Experience with RAG systems & provenance patterns
  • Knowledge of data governance, metadata, lineage & auditability

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