ML Data Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Oversee, analyze, and resolve issues within data ingestion pipelines, moving beyond immediate fixes to implement sustainable solutions.

• Serve as a data specialist: enhance queries, participate in data architecture discussions, and assist teams in maximizing their data utilization.

• Offer infrastructure support that enhances scalability, stability, and security across internal systems.

• Elevate code quality through automation, unit testing, and meticulous code reviews.

• Document your code, design choices, and data sources to ensure maintainability and allow teammates to build upon your work.

• Collaborate across various disciplines to address intricate data challenges, and find enjoyment in the process.

⛳️ Requirements

• A minimum of 5 years of experience as a Data Engineer, with a robust background in data infrastructure.

• Strong problem-solving abilities and the capacity to manage multiple priorities without compromising quality.

• Proven experience in designing and maintaining data pipelines, focusing on performance and reliability.

• A proactive, ownership-oriented mindset, capable of identifying issues before they escalate.

• Excellent English communication skills (B2/C1) to effectively collaborate with cross-functional teams, articulating both technical and non-technical concepts clearly.

• Experience in supporting ML platforms or collaborating with data science/ML teams.

• Familiarity with cloud platforms such as AWS, GCP, or Azure.

• Knowledge of observability tools, logging, metrics, and tracing.

• A proven history of enhancing system reliability through automation and monitoring.

🏝️ Benefits

• Join us to be part of a dynamic community where your skills and contributions truly matter!