Data Engineer – Pipelines, Structured Markup

Job not on LinkedIn

🕒 February 12

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 56%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Vulcury

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2022

🏭 Manufacturing

📣 Marketing

💼 Consulting

Manufacturing • Marketing • Consulting

Vulcury is a combined venture studio and consulting firm that helps businesses and entrepreneurs turn ideas into scalable companies while providing strategic advisory services. The venture studio incubates, validates, and spins out startups with focus areas including investment research, manufacturing innovation, real estate development, education/EdTech, and emerging technologies. The consulting division delivers strategic planning, operational efficiency, financial modeling, market analysis, and growth acceleration to help organizations scale and execute effectively.

📋 Description

• Design 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

• 4-5 years of experience • 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

• Competitive salary • Health insurance • Paid time off • Flexible work arrangements • Professional development opportunities