Mid Data Engineer, Software

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

📋 Description

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

• Address intricate data engineering challenges by implementing efficient, resilient distributed systems and optimizing data processing workflows.

• Contribute to the development of production-grade data platforms with high-quality, rigorously tested code.

• Maintain software quality through the creation of clean, testable, and well-documented code, along with conducting code reviews and adhering to engineering standards.

• Collaborate effectively 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.

• Assist in deployments, monitoring, alerting, and the continuous enhancement of system reliability.

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

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

• Substantial experience in software or data engineering.

• Proven experience in designing and managing highly parallelized data workloads.

• Proficiency in Git-based version control systems, such as GitHub and Bitbucket.

• Knowledge of agile methodologies and collaborative development within multi-team environments.

• Excellent communication skills for engaging in technical discussions and peer development.

• Advanced proficiency in English.

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

• Nice to have: practical experience with AWS, GCP, or Azure data platforms and services such as S3, Glue, and Athena.

• Nice to have: expertise in Scala and Apache Spark.

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

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

🏝️ Benefits

• Inclusive recruitment and professional development initiatives.

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