Mid Data & Software Engineer

🔥 48 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

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Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• Design, develop, and maintain large-scale data pipelines using Scala, Spark, and cloud-native technologies • Solve complex data engineering challenges through efficient, resilient distributed systems and optimized data processing workflows • Contribute to production-grade data platforms with high-quality, tested code and end-to-end feature development • Ensure software quality through clean, testable, documented code, code reviews, and engineering standards • Collaborate with engineers, product owners, and cross-functional stakeholders in agile value stream teams • Provide technical guidance through architecture discussions, code reviews, and promotion of engineering best practices • Support releases and operations, including deployments, monitoring, alerting, and reliability improvements • Improve performance, cost efficiency, and scalability of data processing workloads

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience • Solid experience in software or data engineering • Hands-on experience with cloud-native data platforms such as AWS, GCP, or Azure, including 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 such as GitHub or Bitbucket • Familiarity with agile methodologies and collaborative development in multi-team environments • Strong communication skills for technical discussions and peer development • Advanced English proficiency • Availability to travel to São Carlos/SP when needed • 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 using Scala and Apache Spark • Nice to have: experience with functional programming (Scala) or Java, Python, or Rust • Nice to have: familiarity with modern data platform architectures and large-scale data ecosystems

🏖️ Benefits

• Remote work options • Inclusive recruitment and professional development initiatives • Affinity groups supporting underrepresented groups: ExperianPride, Ubuntu, Women in Experian, Aspire, and Connecting Generations

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