Mid Software Engineer at Experian

Sao Carlos, Southeast, Brazil -

Full Time

Start Date

Immediate

Expiry Date

29 Sep, 26

Salary

0.0

Posted On

01 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Scala, Java, Python, Distributed Systems, ETL Development, Data Engineering, Google Cloud Platform, AWS, Kubernetes, Apache Beam, Spark, BigQuery, SQL, Airflow, Data Structures, Algorithms

Industry

Information Services

Description

Company Description Experian is a global data and technology company that powers opportunities for people and businesses around the world. We operate across a wide range of markets, including financial services, healthcare, automotive, agribusiness, insurance, among others. Experian invests in people and in advanced new technologies to unlock the power of data. We have an incredible team of 25,200 employees across 32 countries. Our uniqueness is valuing yours. 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. Check out Experian Life on social media or explore our careers site to understand why. Experian is also proud to be an equal opportunity and affirmative action employer. Job Description We are looking for a Mid Software Engineer to join Experian Marketing Services’ global engineering team and help build the next generation of large-scale systems powering our Graph products. In this role, you will contribute to the architecture, design, and development of high-performance software solutions that process data at petabyte scale, leveraging modern technologies such as Scala, cloud-native platforms, machine learning, and distributed data processing frameworks. Working closely with Engineering, Product, and Data Science teams, you will play a key role in delivering reliable, scalable, and secure solutions while maintaining the highest standards of consumer privacy and data protection. Your key responsibilities Contribute to the architecture, design, development, and implementation of EMS systems and Graph products. Partner with Technical Leads and engineering teams to design, execute, and successfully deliver complex technical initiatives. Develop and maintain scalable software solutions capable of processing large-scale real-time and batch data workloads. Collaborate with Product, Engineering, and Data Science teams to build innovative, high-quality products and services. Support the development of data ingestion engines, ETL pipelines, and data platforms that enable scalable data consumption. Participate in code reviews, promoting engineering excellence, maintainability, and knowledge sharing across the team. Troubleshoot technical issues and contribute to performance, reliability, and operational improvements. Participate in on-call rotations as required, supporting critical systems and ensuring service availability. Contribute to a collaborative engineering culture by mentoring peers and sharing technical knowledge. Ensure solutions are built with a strong focus on data security, privacy, and engineering best practices. Qualifications What we expect from you Professional software engineering experience with consistent hands-on coding contributions. Strong understanding of algorithms, data structures, and software engineering fundamentals. Experience developing applications using Scala, Java, or Python. Experience working with high-scale distributed systems, including real-time and batch processing environments. Interest and experience in data engineering, including data ingestion, ETL development, and large-scale data processing. Ability to contribute to the architecture and technical design of complex software solutions. Strong problem-solving and analytical skills with a focus on delivering scalable and reliable systems. Excellent collaboration and communication skills, with the ability to work effectively in cross-functional and global teams. Passion for engineering excellence, including providing meaningful code reviews and constructive technical feedback. Availability to work and collaborate with teams operating in the Eastern Time Zone. Commitment to building secure, privacy-first, and high-quality software solutions. Nice to have Experience with cloud platforms such as Google Cloud Platform (GCP) or AWS. Experience with Scala and related ecosystem tools such as sbt, Cats, http4s, and FS2. Knowledge of Java and Python development environments. Experience with workflow orchestration and cloud-native technologies, including Airflow and Kubernetes. Hands-on experience with large-scale data processing frameworks such as Google Dataflow, Apache Beam, Spark, SQL, BigQuery, or similar data warehouse technologies. Exposure to machine learning-driven products or data-intensive applications. Experience working in large-scale distributed environments with complex data processing requirements. Previous experience supporting production systems through on-call rotations and operational excellence practices. 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. 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). Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Employee Status: Regular Role Type: Home Department: Information Technology & Systems Schedule: Full Time

Responsibilities

Contribute to the architecture and development of high-performance software solutions for Graph products processing petabyte-scale data. Collaborate with cross-functional teams to build scalable data ingestion engines and ETL pipelines while ensuring data security and privacy.