Leading Data Infrastructure Developer

3 semanas atrás


Porto Alegre, Brasil beBeeData Tempo inteiro

Job Opening We are looking for a highly skilled Data Engineer to lead our data infrastructure development and MLOps initiatives. This full-time, remote opportunity is available for candidates in Brazil. Design, develop, and maintain robust, scalable data infrastructure across real-time and batch workloads. Create and support ML pipelines for model training, deployment, and monitoring. Collaborate with cross-functional teams to deliver high-performance data and ML solutions. Develop APIs and services for data ingestion, transformation, and querying. Evaluate the reliability of ML systems through strong observability and operational tools. Contribute to architectural decisions and mentor team members. Tech Stack & Requirements Minimum 5 years of experience as a Data Engineer or MLOps Engineer. Strong expertise in Python, Java, or Scala. Familiarity with GCP (preferred), AWS, or Azure. Hands-on experience with BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes). Aptitude with Apache Kafka, Spark, or similar tools is beneficial. Experience with ETL, CI/CD, git, and monitoring pipelines. Excellent communication skills and fluency in English is mandatory. Bachelor's or Master's degree in Computer Science or related fields.



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