Analista de Desenvolvimento de Software Sênior

Job Description

We are looking for a Principal Data 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 Scala, Spark, 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

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 work hybrid in São Carlos/SP. Nice to have Experience with

DBT

or modern transformation frameworks. Knowledge of

concurrent and parallel programming . Experience with

AWS DMS

or similar migration tools. Familiarity with

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

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