Exp: 6 to 10 years

Location: Hyderabad/Bangalore/Pune/Greater Noida

Job Type: Full time

Designation : Tech Lead/Senior Technical Lead

Work mode : Hybrid

Mandatory Skills : IDP + PDF/Documents + JSON + Python + Snowflake

Unstructured-Data Engineer
Experience in data engineering, including years working with unstructured/semi-structured data.
Solid expertise in Python, SQL, Snowflake, and cloud-based data platforms.
Build end-to-end document-to-analytics pipelines using OCR/IDP solutions and API integrations.
Design and implement ingestion, validation, transformation, and loading processes into Snowflake.
Experience with JSON parsing, orchestration tools (Airflow/ADF/dbt), and data quality controls.
Ensure lineage, auditability, security, and compliance for document-driven data workflows.
Develop scalable data models and optimize query performance for analytics and reporting.
Collaborate with business, data science, and technology teams to deliver data-driven solutions.

Documents become analytics-ready data in five steps
Acquire Pull documents
land + tag
DI utility Extract text,
tables, entities
Structure Parse, validate,
normalise
low confidence
corrected
Human review

📌 Unstructured Data Engineer Noida (India)
🏢 Hucon Solutions
📍 India