Pessoa Engenheira de Dados Pleno

BrazilRemoteFull-timemid

Other

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Quick Summary

Requirements Summary

Bachelor's degree in Systems Analysis and Development, Computer Science, Computer Engineering, or a related field. Advanced SQL and Python skills.

Technical Tools

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We are looking for a Data Engineer to help build and evolve a robust, scalable, and reliable data platform. In this role, you will develop end-to-end data pipelines and contribute to architectural decisions that improve data processing, storage, and availability. You will work with batch and streaming ingestion, automated testing, monitoring, and observability to ensure high-quality data operations. Partnering with cross-functional teams, you will help solve complex technical challenges and strengthen platform performance and reliability. You will also contribute to data security and governance while supporting the professional development of junior team members. This is an opportunity to make a meaningful impact in a collaborative technology environment focused on innovation and continuous improvement.

Actively contribute to the development and evolution of a data platform, designing and implementing end-to-end data pipelines.
Define and implement automated data testing practices to improve data quality and optimize processing and storage performance.
Establish observability and monitoring practices, investigate incidents, and troubleshoot complex pipeline issues.
Participate in data architecture decisions, including storage models, integrations, scalability, and platform design.
Develop and maintain batch and streaming data ingestion processes.
Support junior team members by sharing knowledge and providing technical guidance.
Ensure compliance with data security and governance policies.
Interpret system alerts, monitor pipeline performance, and proactively identify potential issues.
Contribute to the continuous improvement of data engineering practices, reliability, and operational efficiency.

Requirements

~1 min read

Bachelor's degree in Systems Analysis and Development, Computer Science, Computer Engineering, or a related field.
Advanced SQL and Python skills.
Practical professional experience in data engineering and building data pipelines.
Experience integrating different data sources and systems, including databases, APIs, and SFTP.
Experience with workflow orchestration tools, preferably Apache Airflow.
Familiarity with Git-based version control, preferably using GitFlow.
Hands-on experience with Terraform.
Experience working with cloud environments such as AWS, Azure, or GCP.
Experience with troubleshooting, logging, alerts, and data pipeline monitoring.
Understanding of DataOps principles, CI/CD practices, and data modeling.
Strong analytical and problem-solving skills, with attention to data quality and system reliability.
Good communication and collaboration skills, with the ability to support and guide junior professionals.
Experience with PySpark is a plus.
Familiarity with automated testing practices is desirable.
Previous participation in data platform design or implementation projects is an advantage.
Experience in technology companies or the financial services sector is considered a plus.