Big Data Engineer (AWS / Python)

Oowlish; Espumoso; Teletrabalho; BRL 417 318 - 573 812; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Home office

Competitive compensation

Career growth plans

International projects

Oowlish English Program

Fitness program

Games and competitions

Resumo da oferta

A leading software development company in Brazil is seeking a Big Data Engineer for a remote 6-month engagement. The role involves developing and maintaining data processing logic, building AWS-based data pipelines, and optimizing SQL queries. Candidates should have over 4 years of experience, strong Python skills, and familiarity with AWS services like Lambda and Glue. This position offers competitive compensation and the opportunity to work on international projects, contributing to impactful digital solutions.

Qualificações

• 4+ years as a Data Engineer/Big Data Engineer.
• Strong hands-on experience with Python.
• Advanced SQL skills for query optimization.
• Production experience with AWS services.
• Experience using CI/CD tools like GitHub.
• Familiarity with Snowflake or Aurora.
• Understanding of Infrastructure-as-Code (IaC).
• Comfortable in ET time zone.

Responsabilidades

• Develop and maintain data processing logic using Python.
• Build and optimize data pipelines using AWS Glue and Lambda.
• Write and optimize complex SQL queries.
• Support platform reliability and monitor pipelines.
• Contribute to CI/CD processes using GitHub.
• Collaborate on infrastructure improvements.
• Troubleshoot and resolve pipeline failures.
• Support BI tool data consumption layers.

Conhecimentos

Python

SQL optimization

AWS Lambda

AWS Glue

CI/CD practices

Infrastructure-as-Code

Familiarity with Snowflake/Aurora

Descrição da oferta de emprego

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.