Back to jobs

Specialist I - Data Engineer (Brazil Based)

São Carlos, SP, Brazil

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Experian

What you’ll work on

Full posting
  • In this role, you will design and build highly scalable, resilient, and high‑performance data pipelines and services, applying advanced software and data engineering practices.

From the employer’s posting
Job Description We are looking for a Lead (Senior) Data | Sofware Engineer to lead the evolution of a petabyte-scale data platform on AWS. In this role, you will design and build highly scalable, resilient, and high‑performance data pipelines and services, applying advanced software and data engineering practices. You will collaborate closely with product, engineering, and operations teams to enable next‑generation data‑driven marketing solutions, accelerate innovation, and ensure long‑term platform scalability and reliability. Your key responsibilities

What you’ll bring

All qualifications

Core experience

  • Deep experience building petabyte‑scale systems using Java-based languages such as Scala and Apache Spark.
  • Experience with DBT or modern transformation frameworks.
  • Strong expertise across the AWS data ecosystem (Glue, S3, Athena, Managed Airflow, Iceberg).
  • Knowledge of concurrent and parallel programming.
  • Experience influencing long‑term architecture and platform design.
  • Familiarity with Python, Angular and TypeScript.
Qualification wording
Deep experience building petabyte‑scale systems using Java-based languages such as Scala and Apache Spark.
Experience with DBT or modern transformation frameworks.
Strong expertise across the AWS data ecosystem (Glue, S3, Athena, Managed Airflow, Iceberg).
Knowledge of concurrent and parallel programming.
Experience influencing long‑term architecture and platform design.
Familiarity with Python, Angular and TypeScript.

Tools in this posting

  • Java
  • Kotlin
  • Python
  • Scala
  • AWS
  • dbt
  • Redis
  • S3
  • Spark
  • TypeScript
  • Google Cloud (GCP)
  • Azure
  • Iceberg
Source — Tool mentions in context
- Design, implement, and evolve a petabyte‑scale AWS data platform, applying advanced engineering, distributed systems principles, and cloud‑native practices to ensure performance, reliability, and scalability. - Build and optimize highly scalable data pipelines using JVM languages (Java, Scala, Kotlin, etc...), Spark, Python, and cloud‑native services, ensuring efficient, resilient, and production‑ready data processing that supports analytics and downstream products. - Act as a principal‑level technical leader, mentoring engineers, driving high‑quality code reviews, and promoting best practices to elevate engineering maturity across the organization.
- Expert‑level software and data engineering experience in large‑scale data platforms. - Deep experience building petabyte‑scale systems using Java-based languages such as Scala and Apache Spark. - Strong expertise across the AWS data ecosystem (Glue, S3, Athena, Managed Airflow, Iceberg).
- Knowledge of concurrent and parallel programming. - Familiarity with Python, Angular and TypeScript. - Experience with vector databases (pgvector, Redis vector fields, etc.).
Job Description We are looking for a Lead (Senior) Data | Sofware Engineer to lead the evolution of a petabyte-scale data platform on AWS. In this role, you will design and build highly scalable, resilient, and high‑performance data pipelines and services, applying advanced software and data engineering practices. You will collaborate closely with product, engineering, and operations teams to enable next‑generation data‑driven marketing solutions, accelerate innovation, and ensure long‑term platform scalability and reliability. Your key responsibilities
Your key responsibilities - Design, implement, and evolve a petabyte‑scale AWS data platform, applying advanced engineering, distributed systems principles, and cloud‑native practices to ensure performance, reliability, and scalability. - Build and optimize highly scalable data pipelines using JVM languages (Java, Scala, Kotlin, etc...), Spark, Python, and cloud‑native services, ensuring efficient, resilient, and production‑ready data processing that supports analytics and downstream products.
- Deep experience building petabyte‑scale systems using Java-based languages such as Scala and Apache Spark. - Strong expertise across the AWS data ecosystem (Glue, S3, Athena, Managed Airflow, Iceberg). - Advanced understanding of distributed systems and highly parallelized workloads.
- Strong skills in query optimization, data partitioning, and efficient storage patterns. - Cloud ecosystem mastery (AWS required; Azure/GCP are pluses). - Experience influencing long‑term architecture and platform design.
Nice to have - Experience with DBT or modern transformation frameworks. - Knowledge of concurrent and parallel programming.
- Familiarity with Python, Angular and TypeScript. - Experience with vector databases (pgvector, Redis vector fields, etc.). - Practical experience applying AI/LLM techniques to data platforms, data access, or software quality.

Posting record

Report an error
Status in our records
Live
First seen by us
Sep 28, 2026 · 18d ago
Recorded sightings
155
Last seen by us
Oct 15, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Job description

View original posting ↗

Job Description

We are looking for a Lead (Senior) Data | Sofware Engineer to lead the evolution of a petabyte-scale data platform on AWS. In this role, you will design and build highly scalable, resilient, and high‑performance data pipelines and services, applying advanced software and data engineering practices. You will collaborate closely with product, engineering, and operations teams to enable next‑generation data‑driven marketing solutions, accelerate innovation, and ensure long‑term platform scalability and reliability.

Your key responsibilities

  • Design, implement, and evolve a petabyte‑scale AWS data platform, applying advanced engineering, distributed systems principles, and cloud‑native practices to ensure performance, reliability, and scalability.
  • Build and optimize highly scalable data pipelines using JVM languages (Java, Scala, Kotlin, etc...), Spark, Python, and cloud‑native services, ensuring efficient, resilient, and production‑ready data processing that supports analytics and downstream products.
  • Act as a principal‑level technical leader, mentoring engineers, driving high‑quality code reviews, and promoting best practices to elevate engineering maturity across the organization.
  • Contribute to architectural and design decisions, working closely with architects, product owners, and engineering leadership to guide platform evolution aligned with business strategy.
  • Plan and deliver complex technical initiatives, ensuring high‑quality outcomes, predictable execution, and effective collaboration within agile value‑stream teams.
  • Ensure operational readiness by following coding standards, testing practices, monitoring strategies, and release procedures, supporting production deployments to maintain platform stability.
  • Explore and adopt modern technologies, such as GraphQL integrations, vector databases, and AI/LLM‑based techniques, enhancing data access, platform usability, and development efficiency.

Qualifications

What we expect from you

  • Expert‑level software and data engineering experience in large‑scale data platforms.
  • Deep experience building petabyte‑scale systems using Java-based languages such as Scala and Apache Spark.
  • Strong expertise across the AWS data ecosystem (Glue, S3, Athena, Managed Airflow, Iceberg).
  • Advanced understanding of distributed systems and highly parallelized workloads.
  • Strong skills in query optimization, data partitioning, and efficient storage patterns.
  • Cloud ecosystem mastery (AWS required; Azure/GCP are pluses).
  • Experience influencing long‑term architecture and platform design.
  • Excellent code review, mentorship, and technical leadership capabilities.
  • Hands‑on experience working in agile environments and collaborating across multiple engineering teams.
  • Strong version control and multi‑repo collaboration skills (Git, GitHub, Bitbucket).
  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.
  • Relevant experience.
  • + Advanced English and availability to travel to São Carlos/SP when need it.

Nice to have

  • Experience with DBT or modern transformation frameworks.
  • Knowledge of concurrent and parallel programming.
  • Familiarity with Python, Angular and TypeScript.
  • Experience with vector databases (pgvector, Redis vector fields, etc.).
  • Practical experience applying AI/LLM techniques to data platforms, data access, or software quality.

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

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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.

Already applied? Track this application

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

São Carlos, SP, Brazil

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.