Mid Data | Software Engineer

Serasa Experian

5d • Hybrid

About The Position

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 products. In 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.

Requirements

• Bachelor’s 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 Haves

• 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.

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.

Benefits

• Experian invests in people and in advanced new technologies to unlock the power of data.
• Experian’s people-centric, inclusive, and purpose-driven culture has been recognized with several awards — including World’s Best Workplaces™ 2025 (Fortune Global Top 25) and Great Place To Work™ in 26 countries, among others.
• Experian is also proud to be an equal opportunity and affirmative action employer.
• 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.
• That’s 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).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level