Posted:6 days ago|
Platform:
Work from Office
Full Time
Join the Prodapt team in supporting a unified, scalable, and secure Jupyter-based environment for data science and machine learning. You will help build, maintain, and optimize the platform that empowers analysts, engineers, and scientists to explore data, develop models, and collaborate at scale.
ResponsibilitiesDevelop, maintain, and enhance the Notebook platform built on JupyterLab, supporting both cloud and on-premises deployments.
Integrate and optimize connections to diverse data sources (BigQuery, Hive, Teradata, Hadoop, Spark, etc.).Enable and support distributed data processing and analytics using Spark/PySpark and Dataproc.Implement and maintain platform features for code execution, visualization, collaboration, and scheduling (e.g., Airflow integration).Ensure platform security, including SSO, role-based access control, and compliance with governance and data privacy standards.Support and automate ML workflows, including model training, experiment tracking (e.g., MLflow), and deployment. Monitor platform health, troubleshoot issues, and optimize for performance, scalability, and reliability (e.g., GKE, Kubernetes, Openshift). Collaborate with data scientists, engineers, and product teams to deliver robust, user-friendly solutions. Contribute to documentation, onboarding guides, and best practices for users and developers.
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