Data Infrastructure Architect

Há 2 dias

Recife, Brasil beBeeDataEngineer Tempo inteiro

Are you passionate about crafting cutting-edge data infrastructure and machine learning pipelines?

Our top-tier US company is revolutionizing e-commerce and circular fashion, seeking a Senior Data Engineer with strong MLOps expertise to join our growing team.

Key Responsibilities
  • Develop and maintain robust data platforms across real-time and batch workloads.
  • Build and support ML pipelines for model training, deployment, and monitoring.
  • Collaborate with cross-functional teams to deliver high-performance data and ML solutions.
  • Design APIs and services for data ingestion, transformation, and querying.
  • Ensure the reliability of ML systems through observability and operational tools.
Requirements
  • 5+ years as a Data Engineer or MLOps Engineer.
  • Experience with Python, Java, or Scala programming languages.
  • Hands-on experience with cloud providers (GCP, AWS, Azure).
  • Knowledge of BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes).
  • Familiarity with Apache Kafka, Spark, or similar tools is beneficial.
  • Experience with ETL, CI/CD, git, and monitoring pipelines.
  • Strong communication skills and fluency in English are mandatory.
  • Bachelor's or Master's degree in Computer Science or related fields.
Benefits
  • Full-time, 100% remote opportunity.
Others
  • Exclusive opportunity for candidates located in Brazil.

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