Senior Data Infrastructure Expert

Há 2 dias


Fortaleza, Brasil Bebeedata Tempo inteiro

We are seeking a seasoned expert in data engineering to spearhead our mission to build cutting-edge, scalable data platforms.Location: Remote – Brazil onlyFluency in English is required for effective communication and collaboration within international teams.You will be responsible for designing, developing, and maintaining robust data infrastructure across real-time and batch workloads.
Your expertise in ML pipelines for model training, deployment, and monitoring will be invaluable as you collaborate with cross-functional teams to deliver high-performance data and ML solutions.Key responsibilities include:Designing and implementing data infrastructure that meets the needs of our rapidly growing business.Building and supporting ML pipelines to train, deploy, and monitor models.Collaborating with data scientists, engineers, and product teams to develop innovative data-driven solutions.Developing APIs and services for data ingestion, transformation, and querying.Ensuring the reliability of ML systems through strong observability and operational tools.Mentoring team members and contributing to architectural decisions.Requirements: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.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 are mandatory.Bachelor's or Master's degree in Computer Science or related fields.What We Offer:A top-tier hourly rate paid in USD.A long-term contract opportunity.A fully remote work arrangement, allowing you to collaborate with international teams from the comfort of your home.A high-impact role within a data-driven, mission-oriented organization.


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