Saaf Finance

Data Engineer

• 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
• Build and optimize data warehouses and marts for analytics, reporting, and product use cases
• Design, implement, and maintain conceptual, logical, and physical data models
• Ingest data from APIs, SaaS platforms, and internal systems into the core data platform
• Build and maintain reliable connectors and ingestion frameworks handling schema evolution, rate limits, and error recovery
• Implement validation, schema management, and documentation for data accuracy and compliance
• Use AI tools for data profiling, anomaly detection, and automated documentation of lineage and transformations
• Evaluate and integrate emerging AI tools into the team's data development process
• Build and support agentic workflows and multi-step automated processes acting on real-time data
• Apply AI-assisted analysis to debugging pipeline failures, optimizing query performance, and identifying data quality issues
• Monitor and fine-tune pipeline and warehouse performance for scalability and cost efficiency
• Set up logging, monitoring, and alerting for data jobs
• Apply data security and privacy controls aligned with financial regulatory requirements
• Provide clean, consistent datasets for analysts, product managers, and operational teams
• Collaborate with product managers, data scientists, and full stack engineers to align data models with business needs

Explore Senior Data Engineer at Saaf Finance. Review requirements and application details.