Nexus Cognitive

Data Platform Engineer

Pune
AWS Azure GCP Linux Spark Kafka Databricks MLflow Airflow Hadoop Datadog LDAP
Description

Data Platform Engineer

Department: Customer Delivery and Operations

Location: Pune HQ

Employment Type: FullTime

About Nexus

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 high-performing product and fulfillment center of excellence in Pune, India. As a Lead Network and Security Engineer, you will play a crucial role in providing technical support, resolving complex issues, and maintaining the stability and security of our customers' environments. If you are passionate about AWS/Azure networking, Palo Alto firewall/router technologies, and thrive in a fast-paced environment, this opportunity is for you. 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 a relentless desire to learn the latest modern data architecture platforms and patterns.

What You'll do:

  • 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.

Who you are:

  • 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 have: 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.

Why You’ll Love Working at Nexus

At Nexus, we value people who want to grow — and support each other while doing so.

You can expect:

  • A collaborative team culture built on curiosity and respect

  • Challenging work where your contributions clearly matter

  • A leadership team that invests in learning and development

  • The opportunity to work at the intersection of cloud, data, and AI innovation

Ready to Apply?

If this role sounds like a great fit — or even close to one — we’d love to hear from you. We know that no candidate checks every single box, and we’re excited to meet people who bring curiosity, talent, and a desire to build meaningful work together.

Nexus Cognitive
Nexus Cognitive

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