Data Engineer

Sigma Software Group

Data Engineer building scalable data solutions for high-traffic E-commerce platforms in Brazil. Collaborating with cross-functional teams on modern cloud technologies and large-scale data architectures.

Posted 7/30/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable ETL/ELT pipelines, utilizing Python, Apache Spark, and Snowflake. Proficient in building cloud-native data architectures on AWS and ensuring data quality and performance across the data ecosystem.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentPython DevelopmentApache SparkSnowflakeAWS Cloud Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT Pipeline DevelopmentPython DevelopmentApache SparkSnowflakeApache KafkaData ModelingData WarehousingData Quality AssuranceData Performance OptimizationReal-Time Data Streaming

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication Skills

Tools & Technologies

AWSApache KafkaSnowflakeETL/ELT ToolsData Processing Solutions

Industry Keywords

Data EngineeringData EcosystemEvent-Driven ArchitecturesCloud-Native Architectures

Tech Stack

Tools & technologies

ApacheAWSCloudETLKafkaPythonSpark

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
Upper-Intermediate English level or higher

Benefits

Comp & perks

Remote work
Opportunities for professional growth in an international remote-first environment