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aws postgresql sql python airflow
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πŸ“‹ Description

  • Build and maintain data pipelines feeding NLQ, semantic search, and knowledge graph capabilities on
  • Onboard new data sources and extend the semantic layer without disrupting existing live pipelines
  • Ingest, transform, and deliver XBRL and SEC financial filing datasets
  • Support GraphRAG and knowledge graph pipelines alongside the Data Architect
  • Work with AWS data services including Athena, DataZone, SageMaker, S3, and Lambda
  • Implement and maintain vector database and semantic search tooling

🎯 Requirements

  • Hands-on experience building enterprise data pipelines in regulated or federal environments
  • Strong SQL proficiency and experience with PostgreSQL or similar databases
  • Experience with ETL/ELT tools such as AWS Glue or Airflow
  • Proficiency in Python for pipeline development and automation
  • Experience with AWS data services including Athena, DataZone, S3, Glue, and Lambda
  • Familiarity with vector databases or semantic search tooling

🎁 Benefits

  • Fully remote
  • Tech & Education Stipend
  • Comprehensive Benefits Package
  • Company Match 401(k) plan
  • Flexible PTO, Paid Holidays
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