Mid Data & Software Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design, develop, and maintain extensive data pipelines utilizing Scala, Spark, and cloud-native technologies.

• Tackle intricate data engineering issues through the creation of efficient, resilient distributed systems and optimized data processing workflows.

• Contribute to high-quality, production-grade data platforms with thoroughly tested code and complete feature development.

• Ensure the quality of software through clean, testable, and well-documented code, along with code reviews and adherence to engineering standards.

• Collaborate with engineers, product owners, and cross-functional stakeholders within agile value stream teams.

• Provide technical leadership during architecture discussions, code reviews, and by promoting engineering best practices.

• Support releases and operational tasks, including deployments, monitoring, alerting, and enhancements in reliability.

• Enhance the performance, cost-effectiveness, and scalability of data processing workloads.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a relevant technical discipline, or equivalent practical experience.

• Substantial experience in software or data engineering.

• Practical experience with cloud-native data platforms such as AWS, GCP, or Azure, including S3, Glue, Athena, or comparable services.

• Strong comprehension of distributed systems, resiliency patterns, data partitioning, and efficient data access strategies.

• Experience in designing and managing highly parallelized data workloads.

• Proficient with Git-based version control systems like GitHub or Bitbucket.

• Familiarity with agile methodologies and collaborative development in multi-team settings.

• Excellent communication skills for technical discussions and peer collaborations.

• Advanced proficiency in English.

• Willingness to travel to São Carlos/SP as required.

• Nice to have: experience with DBT or other data transformation frameworks.

• Nice to have: knowledge of concurrent and parallel programming patterns.

• Nice to have: expertise in large-scale data pipelines leveraging Scala and Apache Spark.

• Nice to have: experience with functional programming (Scala) or languages such as Java, Python, or Rust.

• Nice to have: familiarity with modern data platform architectures and large-scale data ecosystems.

🏝️ Benefits

• Options for remote work.

• Initiatives for inclusive recruitment and professional development.

• Affinity groups supporting underrepresented communities: ExperianPride, Ubuntu, Women in Experian, Aspire, and Connecting Generations.