Data Engineer
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Job Description
Data Engineer building infrastructure for AI-driven mortgage platform at Saaf Finance. Designing ETL pipelines and ensuring data quality for analytics and reporting.
Responsibilities:
- Design, implement, and maintain ETL/ELT pipelines for structured and unstructured datasets from internal and external sources.
- Build and optimize warehouses and marts (e.g., Snowflake, BigQuery) for analytics, reporting, and product use cases.
- Ingest data from APIs and SaaS platforms (e.g., CRM, financial data APIs) into the core data platform.
- Design conceptual, logical, and physical models to deliver scalable, consistent, high‑quality datasets.
- Implement validation, schema management, and documentation to ensure accuracy and compliance.
- Monitor and tune pipeline/warehouse performance for scalability and cost efficiency.
- Apply data security and privacy controls aligned with financial regulations; ensure full transformation traceability.
- Deliver clean, consistent datasets to analysts, PMs, and operations for fast, data‑driven decisions.
Requirements:
- Bachelor’s/Master’s in CS, Engineering, or related field.
- 3+ years in data engineering or similar backend data‑focused role.
- Strong SQL and Python for transformation and automation.
- Experience with modern ETL/ELT frameworks (e.g., dbt).
- Proficiency with cloud platforms (AWS preferred) and serverless data services.
- Strong experience with data warehouses (Snowflake preferred).
- Skilled in API integrations and ingestion from third‑party systems.
- Proficient in data modeling (Kimball/Star, Data Vault).
- Able to implement CI/CD for data workflows and set up logging/monitoring/alerting for jobs.
Benefits:
- Competitive salary; high ownership from day one.
- Fast decision cycles; remote‑first with flexibility on hours/location.
- Direct access to founders; clear expectations, regular feedback, and growth support.
- Work on complex, high‑impact problems in a data‑intensive industry.
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