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Unstructured-Data Engineer

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Hybrid

Unstructured-Data Engineer

Hucon Solutions

Unstructured-Data Engineer

Skills

SQL QueriesData EngineeringPythonData ScienceSnowflakeData AnalysisdbtApache AirflowCompliance

14 days ago

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Important information


Contract type:

Permanent

Salary:

₹1,400,000 – ₹2,000,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

6 October 2026

What they need


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.
  • Strong 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

  1. Acquire Pull documents
  2. land + tag
  3. DI utility Extract text,
  4. tables, entities
  5. Structure Parse, validate,
  6. normalise
  7. low confidence
  8. corrected
  9. Human review

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