Data Engineer

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