Lead Data Infrastructure Developer

Há 2 dias


Porto Alegre, Brasil Bebeedata Tempo inteiro

**Senior Data Engineer Opportunity**We are seeking a skilled Senior Data Engineer with expertise in MLOps to join our data engineering team.Key Responsibilities:Design and develop robust, scalable data infrastructure 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.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.Requirements:5+ years as a Data Engineer or MLOps Engineer.Strong experience with Python, Java, or Scala.Hands-on experience 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 beneficial.Experience with ETL, CI/CD, git, and monitoring pipelines.Strong communication skills and fluency in English is mandatory.Bachelor's or Master's degree in Computer Science or related fields.Work Remotely from Porto Alegre, Brazil and receive a competitive hourly rate paid in USD.



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