AWS DATA ENGINEER (HYBRID / REMOTE BRAZIL)

Brazilian company hires for hybrid or remote position

Location: Brazil (any location)

Only candidates already based in Brazil will be considered

• Work Model: Hybrid for candidates living in state capitals and Remote for candidates living in countryside/cities outside the state capitals
• Language Requirements: English C2 (Advanced/Fluent) – Mandatory (there will be direct contact with an international client)
• Seniority: Senior (6+ years)
• Compensation: Please inform your salary expectations when applying.

Build Scalable Cloud Data Solutions on AWS

We are looking for an experienced AWS Data Engineer to design, develop, and optimize modern cloud-based data platforms supporting enterprise analytics and business intelligence initiatives.

You will work with large-scale datasets, build high-performance ETL pipelines, optimize distributed data processing, and collaborate with Data Engineers, Data Scientists, and business stakeholders in an international environment.

If you are passionate about cloud-native data engineering and scalable architectures, this opportunity is for you.

The Professional We Are Looking For

We are seeking a highly technical Data Engineer with deep expertise in AWS data services, distributed processing, and modern data warehouse architectures.

The ideal candidate combines strong programming skills with practical experience building reliable, scalable, and high-performance data pipelines while following cloud engineering best practices.

You should be comfortable working in enterprise environments, solving complex data challenges, and collaborating with global teams.

Key Responsibilities

• Design, develop, and implement enterprise data solutions using AWS Glue, Apache Spark, and Amazon Redshift.
• Collaborate with Data Engineers and Data Scientists to understand business requirements and translate them into scalable data pipelines.
• Build and manage ETL processes using AWS Glue.
• Develop and optimize distributed data processing workflows using Apache Spark.
• Design and maintain data models and schemas in Amazon Redshift.
• Monitor, troubleshoot, and optimize data pipelines to ensure data quality, reliability, and performance.
• Document data architectures, engineering processes, and best practices.
• Support enterprise reporting and analytics initiatives through reliable cloud data platforms.

Mandatory Requirements (Eliminatory)

All requirements below are mandatory and eliminatory. Candidates who cannot clearly demonstrate these qualifications in their CV are unlikely to proceed in the recruitment process.

Education

• Information Systems
• Computer Science
• Data Engineering
• or a related field

Mandatory Experience

• English C2 (Advanced/Fluent) with the ability to communicate confidently in an international environment.
• Proven experience developing cloud data solutions on AWS.
• Strong hands-on experience with:
• AWS Glue
• Apache Spark
• Amazon Redshift
• Strong programming skills using Python or Scala.
• Solid understanding of Data Warehousing concepts and best practices.
• Strong SQL skills.
• Experience with relational database management systems.
• Experience designing and implementing ETL pipelines.
• Experience developing scalable enterprise data processing solutions. Strong analytical and problem-solving skills.

Nice-to-Have Skills

• Experience with enterprise-scale cloud data platforms.
• Data Lake and Lakehouse architectures.
• Infrastructure as Code (IaC).
• CI/CD pipelines for data engineering.
• Data governance and data quality initiatives.
• Experience working with international teams.
• Financial Services industry experience.

What You'll Find in This Opportunity

• Enterprise-scale AWS cloud projects.
• Modern Data Engineering environment.
• Collaboration with Data Engineers and Data Scientists.
• Exposure to large-scale distributed data processing.
• Opportunity to design scalable cloud-native data architectures.
• International, collaborative, and innovation-driven environment.

Important

This position is intended for an AWS Data Engineer with strong experience designing and implementing enterprise data platforms.

Candidates whose experience is primarily focused on Business Intelligence, Reporting, Data Analysis, or Software Development, without significant hands-on expertise in AWS data engineering technologies, are unlikely to meet the expectations for this role.

#EY BR