Saaf Finance

Data Engineer

• 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.

Operations

• Provision & manage AWS: Design, deploy, and maintain VPCs, Lambda, RDS, S3, IAM using IaC (Terraform or CloudFormation).
• CI/CD at scale: Build and optimize GitHub Actions pipelines for backend and frontend; enable zero‑downtime releases.
• Containers & serverless: Operate ECS/Fargate and Lambda workloads with safe rollout strategies.
• Observability: Implement production‑grade monitoring, logging, and alerting (CloudWatch, Prometheus, ELK or similar).
• Automation: Script infra tasks, feature flagging, and environment provisioning.
• Security: Enforce cloud security best practices across IAM, network segmentation, and secrets (SSM / Secrets Manager).
• Data platform support: Support ETL jobs, Snowflake, and dbt workflows used by data/analytics.
• Collaboration: Work with Engineering, Data, and QA; ship reliably using Notion and Linear for coordination.

Data Engineer

Dev-Ops Engineer