About This Role

Saaf AI is building the future of mortgage lending by combining cutting-edge AI with robust data infrastructure. As part of a top-10 private lender processing billions in loan volume, backed by leading asset managers and funds, we are growing fast — and data and AI are at the center of everything we build.

We don’t just experiment with AI — we integrate it deeply into how we operate. Our systems rely on scalable data pipelines, structured data models, and real-time workflows that power underwriting, document processing, and borrower interactions. AI is embedded across these layers, from data extraction and validation to intelligent automation.

If you’re excited about building high-quality data systems in an AI-native workplace — where data pipelines, automation, and intelligent workflows come together — you’ll fit right in.

Key Responsibilities

Data Pipeline Development

• Design, implement, and maintain ETL/ELT pipelines for structured and unstructured datasets from internal and external sources.




• Leverage AI-assisted development tools to accelerate pipeline authoring, generate transformation logic, and automate boilerplate code.

Data Warehousing & Modeling

• Build and optimize data warehouses and marts (Snowflake, BigQuery, or similar) for analytics, reporting, and product use cases.
• Design, implement, and maintain conceptual, logical, and physical data models to ensure scalable, consistent, and high-quality datasets for downstream analytics and applications.

Integration & Ingestion

• Ingest data from APIs, SaaS platforms (CRM, financial data APIs), and internal systems into the core data platform.
• Build and maintain reliable connectors and ingestion frameworks that handle schema evolution, rate limits, and error recovery.

Data Quality & Governance

• Implement validation, schema management, and robust documentation to ensure data accuracy and compliance.
• Use AI tools to support data profiling, anomaly detection, and automated do

📌 Senior Data Engineer (India)
🏢 Saaf Finance
📍 India