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Senior Data Engineer
Pride Globalsão carlos, estado de são paulo, brHá +30 dias
Descrição da vaga5+ years as a Data Engineer or MLOps Engineer. Strong experience with Python , Java , or Scala . Hands-on with GCP (preferred), AWS or Azure . Experience with BigQuery , ML frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes). Familiarity with Apache Kafka , Spark , or similar tools is a big plus. Experience with ETL , CI / CD , git , and monitoring pipelines . Strong communication skills and fluency in English (written & spoken) is mandatory . Bachelor's or Master's degree in Computer Science or related fields. Top-tier hourly rate paid in USD Long-term contract opportunity Fully remote work – collaborate with international teams from the comfort of your home A high-impact role within a data-driven, mission-oriented company
🚀 We're Hiring : Senior Data Engineer (MLOps) | Remote from Brazil | Fluent English required | USD-Hourly pay
📍 Location : Remote – Brazil only
🗣️ Language : Fluent English required
Are you passionate about building scalable data platforms and cutting-edge MLOps solutions? Do you want to work with a top-tier US company revolutionizing e-commerce and circular fashion?
We're looking for a Senior Data Engineer with strong MLOps expertise to join our growing data engineering team. This is a full-time , 100% remote opportunity exclusive to candidates located in Brazil . You'll be working with a fast-paced US-based company, leading innovations in sustainable commerce and data-driven operations.
💼 What You’ll Do
- Design, develop, and maintain robust, scalable data infrastructure across real-time and batch workloads.
- Build and support ML pipelines for model training, deployment, and monitoring.
- Collaborate cross-functionally with data scientists, engineers, and product teams to deliver high-performance data and ML solutions.
- Develop APIs and services for data ingestion, transformation, and querying.
- Ensure the reliability of ML systems through strong observability and operational tools.
- Contribute to architectural decisions and mentor team members.
🛠 Tech Stack & Requirements
💰 What We Offer
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Senior Data Engineer • são carlos, estado de são paulo, br
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