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Visa Hunt is seeking a Python Application Engineer to design, build, and maintain serverless data pipelines that synchronize investor data across systems. The role emphasizes reliable execution, scalable orchestration, and robust observability in a remote setting.
You will work with AWS Lambda, Step Functions, and Snowflake to orchestrate data flows, optimize transformations, and ensure production-grade quality across development, QA, and production environments.
Python Application Engineer to design, build, and maintain serverless applications that orchestrate data pipelines to sync investor data across Snowflake, Salesforce, and API-driven platforms. You'll architect complex multi-step workflows, optimize data transformations, and ensure reliable execution across development, QA, and production environments.
TECHNICAL STACK (WHAT YOU'LL USE DAILY) Orchestration: AWS Lambda + Step Functions Data Processing: Python with PyArrow for efficient ETL Data Warehouse: Snowflake for structured data extraction and storage Infrastructure: Terraform for IaC, GitHub Actions for CI/CD State & Caching: DynamoDB for pipeline metrics and execution state Observability: CloudWatch + DataDog structured logging, AWS X-Ray tracing API Integrations: REST APIs (Salesforce, Anduin IDM, custom endpoints)