This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI & Data - Data Engineer Pleno based in Brazil.
We are looking for a Data Engineer to join an AI & Data team and contribute to the development and maintenance of modern data solutions.
In this role, you will design, build, and support data pipelines that enable reliable and scalable data processing.
You will work with cloud technologies, automation tools, and data architecture patterns to transform complex information into valuable insights.
The position offers the opportunity to collaborate with multidisciplinary teams on impactful projects involving artificial intelligence and data platforms.
You will help ensure data quality, performance, and availability while applying engineering best practices.
This is an opportunity for professionals who enjoy solving complex challenges, working with innovative technologies, and growing within a collaborative environment.
Accountabilities:
The Data Engineer will be responsible for designing, developing, and supporting data solutions that enable efficient data processing and consumption. The role involves collaborating with technical teams, ensuring platform reliability, and continuously improving data workflows through the following activities:
- Develop and maintain scalable data pipelines for ingestion, transformation, and data availability.
- Build and support data engineering solutions focused on quality, reliability, and performance.
- Work with Python and SQL to develop data processing routines and analytical solutions.
- Implement and maintain workflows using Apache Airflow and Google Cloud Composer.
- Support batch, streaming, and Change Data Capture (CDC) data processing scenarios.
- Develop and optimize solutions using Google BigQuery.
- Work with Google Cloud Platform (GCP) services and cloud-based data architectures.
- Apply Medallion Architecture concepts (Bronze, Silver, and Gold layers) to organize and structure data platforms.
- Monitor data processes, identify issues, and contribute to continuous improvements.
- Collaborate with cross-functional teams to understand requirements and deliver effective data solutions.
Requirements:
The ideal candidate is a Data Engineer with experience building data pipelines and working with cloud-based data platforms, combining technical expertise with strong collaboration skills.
- Professional experience in Data Engineering and development of data pipelines.
- Solid knowledge of Python and SQL.
- Experience with Apache Airflow and/or Google Cloud Composer.
- Experience working with batch processing, streaming data, and CDC (Change Data Capture).
- Experience with Google BigQuery.
- Knowledge of Google Cloud Platform (GCP).
- Understanding of Medallion Architecture concepts (Bronze, Silver, and Gold).
- Ability to collaborate effectively within teams.
- Strong communication skills and proactive approach to problem-solving.
- Ability to prioritize tasks and manage activities with a sense of urgency.
Benefits:
- Remote work model.
- Long-term professional engagement as a service provider (PJ).
- Learning incentive programs, including access to online courses.
- Corporate English classes with accessible pricing.
- Opportunity to work on challenging AI and Data projects with modern technologies.
- Collaborative environment focused on innovation and professional growth.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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