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Data Platform Engineer

Nexus One
Posted this week

LOCATION

Pune HQ · Onsite

EXPERIENCE

5+ Years

TYPE

FullTime

SKILLS REQUIRED

Hadoop EcosystemLinuxKubernetesCloud ComputingSparkApache KafkaApache AirflowTerraformPython

Job description

Overview

Hands-on Data Platform Engineer role on NexusOne's product team in Pune, supporting, operating and maintaining customer data platform clusters across cloud and on-premises environments.

What you'll do

  • Install, configure, and support NX1 product clusters in cloud (AWS, Azure, GCP) and on-premises environments, ensuring seamless integration and functionality using Kubernetes, Spark, NiFi, Kafka, Airflow, Trino, Hive, Iceberg, Jupyter, YARN, Impala, Ranger and HBase, ensuring robust data protection and compliance.
  • Maintain, patch, and upgrade existing NX1 product setups in 24x7 environments, ensuring minimal downtime and adherence to best practices.
  • Configure Datadog/Grafana agents and develop dashboards to monitor and alert operations teams.
  • Manage daily operations with on-call rotations of NexusOne products and cloud-based technologies using open-source Linux-based data technologies.
  • Evaluate and optimize complex distributed production deployments, identify bottlenecks, and recommend performance enhancements.
  • Develop and maintain technical documentation, including administration of runbooks and knowledge base articles.
  • 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.

What you'll need

  • Minimum of 5 years of experience installing and administering a Data Platform (Cloudera, Databricks, Snowflake) or using open-source tools, with a proven track record of managing large-scale deployments.
  • Hands-on experience with Python/Terraform automation skills for open-source Linux-based data technologies.
  • Proven ability to build and support solutions across major cloud platforms (AWS, Azure, GCP), leveraging cloud-native tools and open source for optimal performance.
  • 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 capacity planning, identifying bottlenecks, and optimizing memory utilization, CPU usage, OS performance, storage, and network configurations.
  • In-depth understanding of both on-premise and cloud network architectures, ensuring seamless integration and efficient data flow.
  • Strong analytical and problem-solving abilities, capable of diagnosing and resolving complex technical issues efficiently.

Nice to have

  • Cloudera/Databricks/Snowflake Administrator certification.
  • Prior experience as a support or development engineer with a focus on Data, Analytics, and AI.

Details

  • Location: Pune HQ.
  • Role requires participation in an on-call rotation and 24x7 environment support.

Read the full description and apply on the company’s own careers page.

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Data Platform Engineer