Data Platform Engineer

Nexus Cognitive Technologies•Atlanta, GA

About The Position

At Nexus, we help organizations turn complex data into clear, actionable insight — so the hard work behind artificial intelligence, analytics, and cloud infrastructure doesn’t slow innovation down… it accelerates it. We’re a team of builders, problem-solvers, and collaborators who believe in moving fast, learning continuously, and doing great work together. Our role is to handle the heavy lifting of modern data platforms, governance, and cloud transformation so our clients can focus on making confident, strategic decisions that move their businesses forward. We’re proud of the culture we’re building across the U.S. and India — one rooted in curiosity, ownership, collaboration, and care — and we’re excited to keep growing with people who want to do meaningful work alongside genuinely great teammates. As we continue our journey, we are building a team of sharp, intelligent innovators who can move fast with great agility and passion. We are currently searching for a Hands-on Data Platform Engineer to join our team.

Requirements

US Citizenship Required
In-depth understanding of both on-premise 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 (CDP), 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.

Nice To Haves

Cloudera Certified Administrator certifications is a plus.
Prior experience as a support or development engineer with a focus on Data, Analytics, and AI.
If you meet the above qualifications and are excited to join a dynamic team of professionals in a fast-paced environment, we would love to hear from you.
Join us at Nexus Cognitive and become a part of our dynamic and innovative team that is dedicated to transforming how businesses utilize and derive value from their data.
Take the next step in your career and unlock endless possibilities.

Responsibilities

Manage daily operations of NexusOne products on on-premise 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.
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.
Configure Datadog and develop integrations to monitor and alert operations teams
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.