Mid Data | Software Engineer

We are looking for a Data Software Engineer to design build and evolve highly scalable and resilient data platform solutions that power Experian Marketing Services core this role you will work on large-scale cloud-native data pipelines optimize distributed processing systems and ensure the reliability and performance of petabyte-scale workloads. You will operate within agile value stream teams applying strong engineering practices and collaborating with global stakeholders to deliver high-quality business-critical data solutions.

Your key responsibilities

• Design develop and maintain large-scale data pipelines using Scala Spark and cloud-native technologies ensuring high performance scalability and reliability.
• Solve complex data engineering challenges by designing efficient resilient distributed systems and optimizing data processing workflows.
• Contribute to production-grade data platforms delivering high-quality tested code and supporting end-to-end feature development.
• Ensure software quality through clean testable and well-documented code code reviews and adherence to engineering standards.
• Collaborate within agile value stream teams working closely with engineers product owners and cross-functional stakeholders to deliver aligned technical solutions.
• Provide technical guidance to peers contributing to architecture discussions code reviews and promoting best engineering practices.
• Support release and operational processes including deployments monitoring alerting and continuous improvement of system reliability.
• Drive improvements in performance cost efficiency and scalability of data processing workloads.

Qualifications :

What we expect from you

• Bachelors degree in Computer Science Engineering or a related technical field or equivalent practical experience.
• Solid experience in software or data engineering.
• Strong expertise in building and optimizing large-scale data pipelines using Scala and Apache Spark.
• Hands-on experience with cloud-native data platforms (AWS GCP or Azure) including services such as S3 Glue Athena or equivalent.
• Strong understanding of distributed systems resiliency patterns data partitioning and efficient data access strategies.
• Experience designing and operating highly parallelized data workloads.
• Proficiency with Git-based version control systems (GitHub Bitbucket etc.).
• Familiarity with agile methodologies and collaborative development in multi-team environments.
• Strong communication skills with the ability to contribute in technical discussions and support peer development.
• Advanced English proficiency and availability to travel to São Carlos/SP when needed.

Nice to have

• Experience with DBT or other data transformation frameworks.
• Knowledge of concurrent and parallel programming patterns.
• Experience with functional programming (Scala) or languages such as Java Python or Rust.
• Familiarity with modern data platform architectures and large-scale data ecosystems.

Additional Information :

At Serasa Experian we believe that diversity is essential for a healthier and more innovative work environment where everyone can share experiences and express their ideas. Thats why we promote several initiatives to support inclusive recruitment and the professional development of our people.

We also have our affinity groups created to empower and support individuals from underrepresented groups: ExperianPride (LGBTQIAPN community) Ubuntu (racial equity) Women in Experian (gender equity) Aspire (people with disabilities) and Connecting Generations (generations).

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Remote Work :

Yes

Employment Type :

Full-time