Python AWS Developer (Serverless & Data)

Quick Facts

• Role: Python AWS Developer (Serverless & Data)

• Focus: Serverless backend development and AWS data/ETL pipelines

Description

You will design and build production-grade, cloud-native applications on AWS using a serverless architecture. Responsibilities include developing AWS Lambda backends, orchestrating ETL with AWS Glue, managing data in Amazon S3, and building RESTful APIs. A strong emphasis is placed on Test-Driven Development (TDD) using pytest to ensure resilient, production-ready infrastructure.

Responsibilities

• Design, develop, and deploy Python applications using AWS Lambda

• Create and manage ETL jobs and data crawlers using AWS Glue

• Optimize S3 storage/retrieval patterns, including lifecycle policies and event triggers

• Maintain code quality with unit and integration tests using pytest

• Develop and maintain RESTful APIs via API Gateway integrating with Lambda and S3

• Collaborate on infrastructure-as-code deployments using AWS SAM, CDK, or Terraform

• Monitor and optimize Glue jobs and Lambda execution time to improve performance and reduce AWS costs

Requirements

• Expert-level proficiency in Python 3.8+

• Deep experience with pytest (fixtures, mocking, parameterization)

• Hands-on experience with AWS Lambda (triggers, environment management, layers)

• Advanced knowledge of Amazon S3 (bucket policies, versioning, event notifications)

• Experience with AWS Glue (Glue Jobs, Data Catalog, Crawlers); PySpark is a major plus

• Proficiency with Git and Boto3 (AWS SDK for Python)

• Experience with CI/CD pipelines

Benefits

• Opportunity to build resilient, production-ready serverless and data platforms with strong TDD practices