Big Data Engineer (AWS / Python)

Join Our Team Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team. As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact. We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence. About the Role: We are seeking a hands-on Big Data Engineer to support and enhance an AWS-based data platform, focusing on pipeline reliability, scalable processing, and performance optimization. This role requires strong Python expertise, deep familiarity with AWS data services, and the ability to maintain production-grade data workflows. You will work on event-driven pipelines, contribute to CI/CD improvements, and collaborate on platform reliability initiatives. This role is ideal for someone who enjoys building and maintaining data infrastructure, optimizing large-scale data processing systems, and working in cloud-native environments. This is a 6-month engagement, aligned to ET time zone. Key Responsibilities:

Develop and maintain data processing logic using Python

Build, optimize, and support data pipelines using AWS Glue and Lambda

Write and optimize complex SQL queries for analytics and operational workloads

Support platform reliability and pipeline monitoring

Contribute to CI/CD processes using GitHub and GitHub Actions

Collaborate on infrastructure improvements using Infrastructure-as-Code principles

Troubleshoot and resolve pipeline failures and performance issues

Support data consumption layers used by BI tools

Must Have:

4+ years of experience as a Data Engineer / Big Data Engineer

Strong hands-on Python experience (data processing and application logic)

Advanced SQL skills (query optimization, performance tuning)

Production experience with AWS Lambda and AWS Glue

Experience working with CI/CD tools (GitHub, GitHub Actions)

Familiarity with Snowflake and/or Aurora

Understanding of Infrastructure-as-Code (IaC) concepts

Comfortable working in the ET time zone

Nice to Have:

Experience with BI tools (Sigma preferred)

Experience with event-driven architectures

Exposure to enterprise-scale data platforms