Python Application Engineer

Description At Sequoia Connect , we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects. We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions. This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong. We are currently searching for a Python Application Engineer : Responsibilities Design, build, and maintain serverless applications that orchestrate data pipelines. Synchronize highly sensitive investor data across Snowflake, Salesforce, and other API-driven platforms. Architect and deploy complex multi-step workflows to ensure data integrity and flow. Optimize data transformations and extraction processes utilizing Python and PyArrow for efficient ETL. Ensure reliable execution and performance across development, QA, and production environments. Manage infrastructure through code (IaC) using Terraform and maintain CI/CD pipelines via GitHub Actions. Implement state and caching solutions utilizing DynamoDB for pipeline metrics and execution state. Establish and maintain deep system observability using CloudWatch, DataDog (structured logging), and AWS X-Ray tracing. Build and maintain reliable REST API integrations (Salesforce, Anduin IDM, custom endpoints) Requirements Core Development: Strong expertise in Python programming, specifically utilizing PyArrow for efficient ETL and data processing. Serverless Orchestration: Hands-on, daily experience with AWS Lambda and AWS Step Functions to architect multi-step workflows. Data Warehousing: Proven experience extracting and storing structured data within Snowflake. Infrastructure & Deployment: Solid proficiency in Terraform for Infrastructure as Code (IaC) and GitHub Actions for CI/CD. State & Observability: Experience managing execution state with DynamoDB and monitoring distributed systems using CloudWatch, DataDog, and AWS X-Ray. API Integration: Deep experience integrating complex REST APIs (e.g., Salesforce, identity management systems like Anduin IDM). High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery. Technologist DNA: A deep understanding of the difference between "coding" and "engineering" (architecting scalable, serverless data pipelines rather than just writing simple scripts). Desired Familiarity with cloud-native foundations or AI coding assistants. Languages Advanced Oral English. Advanced Spanish. Note: Fully remote. If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page : https://www.sequoia-connect.com/careers/ Requirements Core Development: Strong expertise in Python programming, specifically utilizing PyArrow for efficient ETL and data processing. Serverless Orchestration: Hands-on, daily experience with AWS Lambda and AWS Step Functions to architect multi-step workflows. Data Warehousing: Proven experience extracting and storing structured data within Snowflake. Infrastructure & Deployment: Solid proficiency in Terraform for Infrastructure as Code (IaC) and GitHub Actions for CI/CD. State & Observability: Experience managing execution state with DynamoDB and monitoring distributed systems using CloudWatch, DataDog, and AWS X-Ray. API Integration: Deep experience integrating complex REST APIs (e.g., Salesforce, identity management systems like Anduin IDM). High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery. Technologist DNA: A deep understanding of the difference between "coding" and "engineering" (architecting scalable, serverless data pipelines rather than just writing simple scripts).