Data Engineer

Sobre a oportunidade

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

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

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.

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

Originally posted on Himalayas