Principal Data Architect

Há 13 horas


Brasília DF, Brasil beBeeData Tempo inteiro

We are seeking a seasoned professional to lead our data engineering efforts. As a Senior Data Engineer, you will play a pivotal role in designing, developing, and maintaining robust, scalable data infrastructure across real-time and batch workloads. You will be responsible for creating and implementing data pipelines for model training, deployment, and monitoring, ensuring seamless collaboration with cross-functional teams such as data scientists, engineers, and product managers. To succeed in this position, you will need strong expertise in MLOps and experience working with cloud-based platforms like GCP (preferred), AWS or Azure. Familiarity with BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration tools (Docker, Kubernetes) is also highly valued. If you have hands-on experience with Apache Kafka, Spark, or similar tools, it would be a significant advantage. A successful candidate will possess 5+ years of experience as a Data Engineer or MLOps Engineer, with a strong foundation in programming languages such as Python, Java, or Scala. This individual must be able to drive innovation and improve operational efficiency while ensuring the reliability of ML systems through strong observability and operational tools. In exchange for your expertise, you can expect a challenging yet rewarding role that offers opportunities for growth and development within a dynamic team. Key Qualifications 5+ years as a Data Engineer or MLOps Engineer Strong experience with Python, Java, or Scala Familiarity with BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration tools (Docker, Kubernetes) Hands-on experience with GCP (preferred), AWS or Azure Familiarity with Apache Kafka, Spark, or similar tools is a big plus



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