Data Extraction Engineer

• Extract message-level data from Gmail (threads, attachments, metadata, MIME parsing, deduplication).
• Extract mailbox-style attachments and message objects from Google Drive.
• Extract Slack threads, replies, attachments, and metadata using Slack API.
• Extract Zoom meeting metadata, chat logs, and Calendar event data.
• Build pipelines to normalize, deduplicate, and flatten message data.
• Implement OCR pipelines for PDFs, TIFF, PNG using Vision API / Textract / Tesseract.
• Convert all extracted data into searchable CSV datasets for legal BOT systems.
• Build ingestion workflows using Python, Airflow, Cloud Composer, GCS, BigQuery.
• Ensure compliance, chain-of-custody, and auditability of extracted data.

We are seeking a specialized engineer with hands-on experience extracting, normalizing, and processing message-level data from enterprise communication systems including Gmail, Google Drive, Slack, Zoom, and Google Calendar. This role supports legal, compliance, and e-discovery workflows., * Hands-on experience with Gmail API, Slack API, Google Drive API, Calendar API, Zoom API.

• Experience with message-level extraction, thread reconstruction, and deduplication.
• Experience with OCR pipelines (Vision API, Textract, Tesseract).
• Strong Python engineering background.
• Experience building ingestion pipelines on GCP (GCS, BigQuery, Composer).
• Experience supporting legal, compliance, or e-discovery workflows.

Nice to Have

• Experience with Relativity, Everlaw, Logikcull, DISCO, Casepoint, OpenText, Exterro.
• Experience with digital forensics or enterprise messaging extraction.