Data Engineer – Pipelines, Structured Markup
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Job Description
Data Engineer designing ingestion pipelines and structured transformation workflows for Vulcury. Collaborating to convert raw data into structured, queriable data objects for internal use.
Responsibilities:
- Build and maintain ingestion pipelines (Python-based ETL/ELT)
- Design structured transformation workflows using dbt, SQLMesh, or equivalent
- Convert unstructured transcripts and documents into normalized database records
- Maintain PostgreSQL architecture (structured tables, JSONB, indexing strategy)
- Develop attribute extraction frameworks for technical, commercial, and risk signals
- Ensure data quality, consistency, and lineage from raw interaction to structured output
- Collaborate with AI/ML engineers to ensure clean model inputs
Requirements:
- Strong Python (data pipelines, orchestration)
- Advanced SQL (PostgreSQL preferred)
- Experience with ETL/ELT frameworks (dbt, Airflow, SQLMesh, etc.)
- Experience handling semi-structured data (JSON, transcripts, document parsing)
- Strong schema design and normalization skills
- Familiarity with cloud storage systems (S3 or equivalent)
Benefits:
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