High-Impact Data Engineering Specialist

Há 5 horas


Rio de Janeiro RJ, Brasil beBeeDataEngineer Tempo inteiro

Expert Data Engineer Sought for High-Impact Role Job Description: We are on the lookout for an experienced Senior Data Engineer with a strong background in MLOps to join our dynamic data engineering team. This individual will play a crucial role in designing, developing, and maintaining robust and scalable data infrastructure across real-time and batch workloads. The ideal candidate will have hands-on experience with Python, Java, or Scala, as well as expertise in working with cloud platforms such as GCP, AWS, or Azure. A strong understanding of ML pipelines, model training, deployment, and monitoring is also essential. Key Responsibilities: Design and Development: Design, develop, and maintain robust and scalable data infrastructure. Build and support ML pipelines for model training, deployment, and monitoring. Collaboration and Communication: Collaborate cross-functionally with data scientists, engineers, and product 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. Requirements and Experience: 5+ years of experience as a Data Engineer or MLOps Engineer. Strong experience with Python, Java, or Scala. Hands-on experience with GCP (preferred), AWS, or Azure. Benefits: A competitive hourly rate paid in USD will be offered along with other benefits such as fully remote work and a high-impact role within a data-driven organization. Additionally, this position offers long-term contract opportunities and the chance to work with a talented team dedicated to delivering innovative data solutions.



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