
High-Impact Data Engineering Role
Há 8 horas
Our company's mission is to revolutionize e-commerce and circular fashion through sustainable commerce and data-driven operations.Senior Data Engineers with strong MLOps expertise are needed to join our growing data engineering team.
This full-time, 100% remote opportunity is exclusive to candidates located in Brazil.The ideal candidate will 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, and develop APIs and services for data ingestion, transformation, and querying.Design, develop, and maintain robust, scalable data infrastructureBuild and support ML pipelines for model training, deployment, and monitoringCollaborate with data scientists, engineers, and product teamsDevelop APIs and services for data ingestion, transformation, and queryingRequirements:5+ years of experience as a Data Engineer or MLOps EngineerStrong experience with Python, Java, or ScalaHands-on experience with GCP, AWS, or AzureExperience with BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes)Familiarity with Apache Kafka, Spark, or similar toolsExperience with ETL, CI/CD, git, and monitoring pipelinesWhat We Offer:Top-tier hourly rate paid in USDLong-term contract opportunityFully remote workA high-impact role within a data-driven companyLanguage: EnglishLocation: Remote – Brazil only
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