Big Data Engineer (AWS / Python)

Description

Summary: Join Oowlish as a Big Data Engineer to support and enhance an AWS-based data platform, focusing on pipeline reliability, scalable processing, and performance optimization. Highlights: 1. Collaborate with premier clients from the United States and Europe 2. Opportunities for professional development, growth, and international impact 3. Build and maintain data infrastructure, optimizing large-scale data systems **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 **Benefits \& Perks:** Home office; Competitive compensation based on experience; Career plans to allow for extensive growth in the company; International Projects; Oowlish English Program (Technical and Conversational); Oowlish Fitness with Total Pass; Games and Competitions;