Senior Data Platform Engineer (Python/AWS) - Finance - Remote

Overview

The Senior Data Platform Engineer - Python/AWS Specialist leads the design, development, and management of our enterprise data pipeline infrastructure, focusing on Python-based solutions and AWS cloud services to support critical business functions.

In Short

• Architect and maintain Python applications using Object-Oriented Programming (OOP).
• Build RESTful APIs and microservices using FastAPI or Flask.
• Utilize frameworks like Pandas, NumPy, SQLAlchemy, and PySpark.
• Implement solutions using AWS services such as Lambda, Glue, and S3.
• Manage reproducible deployments via CloudFormation, CDK, or Terraform.
• Deploy and orchestrate services using Docker, ECS, or Kubernetes.
• Design scalable ETL/ELT pipelines using Airflow or AWS Step Functions.
• Build real-time and batch processing systems using serverless patterns.
• CI/CD workflows, automated testing, and data validation.

Requirements

• 5+ years in software development with 4+ years of Python experience.
• 3+ years of hands-on experience with data-centric AWS services.
• Deep understanding of ETL/ELT patterns and modern data architecture.
• Proven ability to explain complex technical concepts to stakeholders.

Benefits

• 100% Remote Work.
• Highly Competitive USD Pay.
• Paid Time Off.
• Work with Autonomy.
• Work with Top American Companies.