Cloudera Engineer to join our high-performing product and fulfillment center of excellence. You will contribute to implementing new product features and rapidly on-boarding new enterprise customers. The ideal candidate will be a proactive problem solver with strong technical skills and meticulous attention to detail. This person will be intellectually curious with relentless desire to learn the latest modern data architecture platforms and patterns.

WHAT YOU’LL DO:

Manage daily operations of DaaS product on on-premises and cloud-based technologies using open-source Linux-based data technologies.
Install, configure, and support CDP clusters in both cloud (AWS, Azure, GCP) and on-premises environments, ensuring seamless integration and functionality.
Lead/Mentor less experiences members of platform engineering and support teams,
Maintain, patch, and upgrade existing CDP setups, ensuring minimal downtime and adherence to Cloudera’s best practices.
Evaluate and optimize complex distributed production deployments, identifying bottlenecks and recommending performance enhancements.
Configure and manage security using tools like Ranger and Kerberos, ensuring robust data protection and compliance.
Develop and maintain technical documentation, including administration runbooks and knowledge base articles, to support operational excellence and knowledge sharing.
Work in an agile team and Participate in an on-call rotation, providing expert-level support and troubleshooting for critical issues.
Lead and mentor junior team members, fostering a culture of continuous learning and improvement.
Collaborate with cross-functional teams, including data engineers, solution architects, and DevOps, to design and implement scalable data solutions.
Stay current with emerging technologies and industry trends, applying this knowledge to improve the CDP environment and drive innovation.

Requirements

US Citizenship
In-depth understanding of both on-premises and cloud network architectures, ensuring seamless integration and efficient data flow.
Minimum of 5 years of experience in installing and administering the Cloudera Data Platform (Public or Private Cloud), with a proven track record of managing large-scale deployments.
Hands-on experience with open-source Linux-based data technologies, including Iceberg, Spark, Nifi, Jupyter Notebooks, Cloudera, Databricks, Kubeflow, MLFlow, and Kafka.
Proven ability to build and support solutions across major cloud platforms (AWS, Azure, GCP), leveraging cloud-native tools and open source for optimal performance.
Strong Cloudera expertise, with a deep understanding of Spark and Airflow for orchestrating complex data workflows.
Experience integrating Azure Active Directory with FreeIPA and other directory services such as LDAP, enhancing security and user management.
Up-to-date knowledge of the Hadoop Big Data ecosystem, staying current with the latest technologies and best practices.
Excellent troubleshooting skills, with a thorough understanding of CDP capacity planning, identifying bottlenecks, and optimizing memory utilization, CPU usage, OS performance, storage, and network configurations.
Strong analytical and problem-solving abilities, capable of diagnosing and resolving complex technical issues efficiently.