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
Job Description- 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
Skills Required
- 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
- 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
What We Do
Sigma Software Group, an award-winning and trusted IT partner, has been serving customers for over 21 years, providing comprehensive IT solutions to various businesses, ranging from startups to established software product houses. As one of Europe's substantial IT consultancies, it brings together a dedicated workforce of over 2,100 professionals in 40 offices across 19 countries. With a diverse client base, including more than 300 enterprises, including Fortune 500 stalwarts, Sigma Software Group is a preferred choice for developing solutions that help businesses create cutting-edge products while meeting their unique needs. Sigma Software Group operates as a dynamic ecosystem of tech companies, offering 25 ready-to-implement innovative products and 40+ value-added services. Furthermore, Sigma Software Group is committed to fostering innovation through initiatives such as the Sigma Software Labs business incubator, Sigma Software University, the SID Venture Partners VC Fund, UA Tech Network, Techosystem, the European Business Association, and other collaborative efforts. Since 2015, Sigma Software Group has consistently earned recognition on the IAOP's prestigious World's Top 100 Outsourcing list. The company's accomplishments have also been acknowledged by prominent global media outlets such as Forbes, CNBC, The Times, and Reuters
