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

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

• Address intricate data engineering challenges by crafting efficient and resilient distributed systems.

• Contribute to high-quality production-grade data platforms, ensuring delivery of well-tested code.

• Uphold software quality through clean, testable, and thoroughly documented code practices.

• Collaborate within agile value stream teams, engaging closely with engineers, product owners, and diverse stakeholders.

• Offer technical guidance to colleagues, participating in architectural discussions and advocating for best engineering practices.

• Assist in the release and operational processes, including deployments, monitoring, alerting, and continuous enhancement of system reliability.

• Propel advancements in performance, cost efficiency, and scalability of data processing workloads.

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

• Strong background in software or data engineering.

• Hands-on experience with cloud-native data platforms (AWS, GCP, or Azure), including services like S3, Glue, Athena, or similar.

• Solid understanding of distributed systems, resiliency patterns, data partitioning, and effective data access strategies.

• Experience in designing and managing highly parallelized data workloads.

• Proficiency with Git-based version control systems (GitHub, Bitbucket, etc.).

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

• Excellent communication skills, capable of contributing to technical discussions and supporting peer development.

• Advanced proficiency in English and willingness to travel to São Carlos/SP as required.

• Experian’s people-centric, inclusive, and purpose-driven culture.

• Equal opportunity and affirmative action employer.

Mid Software Engineer

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