Data Engineer

About the Position

Data Engineer

Middle Remote

Latin America, Argentina, Brazil, Colombia, Mexico

Engineering, Data Engineering, Software Development, Python

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Overview

Do you enjoy building scalable data platforms that power business-critical decisions? We are looking for a Data Engineer to join a high-impact E-commerce project focused on processing and optimizing large-scale data flows for millions of users. This is a full-time remote opportunity based in Brazil.

We at Sigma Software develop modern digital solutions for global businesses and create an environment where engineers can grow, innovate, and influence technical decisions. In this role, you will work with modern cloud technologies, real-time streaming systems, and large-scale data architectures in collaboration with experienced cross-functional teams.

Why join us? You will contribute to a customer-focused E-commerce platform, work with advanced Data Engineering technologies, and gain opportunities for professional growth in an international remote-first environment.

About the Customer

Our Customer is a leading marketplace specializing in pet products with a strong online presence and a large-scale digital commerce ecosystem. The company offers an extensive catalog of products for pet owners, including food, accessories, and healthcare solutions. Focused on customer satisfaction and innovation, the organization continues to expand its E-commerce capabilities to deliver seamless shopping experiences to millions of users.

Project

The project focuses on building scalable and reliable data solutions for a high-traffic E-commerce platform serving millions of users. The team develops modern data pipelines, streaming systems, and cloud-native architectures to support analytics, operational processes, and business decision-making. The environment combines large-scale data processing with real-time streaming technologies and modern cloud infrastructure.

Key Technologies: Python, Apache Spark, Snowflake, Apache Kafka, AWS, ETL/ELT pipelines, Data Warehousing, Event-driven Architecture

Requirements

• 4+ years of professional experience as a Data Engineer
• Strong experience with Python development
• Hands-on experience with Apache Spark
• Strong knowledge of Snowflake
• Experience building and maintaining ETL/ELT pipelines
• Experience with Apache Kafka and event-driven architectures
• Experience working with AWS cloud services
• Understanding of data modeling and data warehousing concepts
• Strong analytical, problem-solving, and communication skills
• Ability to work effectively in distributed teams
• Upper-Intermediate English level or higher

Will Be a Plus

• Experience with large-scale E-commerce platforms
• Familiarity with real-time analytics systems
• Knowledge of infrastructure automation and CI/CD practices
• Experience optimizing high-volume data processing pipelines
• Understanding of distributed systems concepts

Personal Profile

• Strong ownership mindset
• Attention to detail
• Proactive communication skills
• Collaborative and team-oriented attitude
• Ability to work independently in remote environments

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines
• Build and optimize data processing solutions using Python and Apache Spark
• Develop and support real-time data streaming applications using Kafka
• Design and implement enterprise data solutions leveraging Snowflake
• Build cloud-native data architectures and services on AWS
• Ensure data quality, reliability, scalability, and performance across the data ecosystem
• Troubleshoot, monitor, and optimize production data pipelines
• Participate in technical discussions, code reviews, and engineering best practice initiatives
• Collaborate with cross-functional teams to support data-driven business initiatives

Meet Your Team

Why Us

• Diversity of Domains & Businesses
• Variety of technology
• Health & Legal support
• Active professional community
• Continuous education and growing
• Flexible schedule
• Remote work
• Outstanding offices (if you choose it)
• Sports and community activities

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