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# Hadoop developer

- **Company:** Collabera
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $135,200.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Artificial Intelligence, User Authentication, Big Data, Cloud Computing, Cloudera Impala, Apache Hadoop, Hadoop Distributed File System, Apache HBase, Apache Hive, Job Scheduling, Python (Programming Language), Kerberos (Protocol), Machine Learning, OpenShift, Oracle (Applications), Performance Tuning, Ansible, Cloudera, Azure Machine Learning, Shell Script, SQL Databases, Talend, Apache Yarn, Snowflake, Apache Spark, Jupyter, Kubernetes, Apache Kafka, Docker, Jenkins, Databricks
- **Published:** August 7, 2026
- **Apply:** https://collabera.com/submit-resume/

## About the Role

o Six plus years of relevant work experience. Strong Cloudera Hadoop administration experience.
o Expertise with Hadoop ecosystem (HDFS, Spark, Kafka, Hive, Impala, HBase, YARN).
o Linux/Unix administration and Python/Shell scripting.
o Experience with Kerberos/AD authentication.
o Monitoring, job scheduling, and automation (Ansible/Jenkins).
o Experience supporting enterprise Big Data production environments.
Plusses
o Databricks, Snowflake, Talend, ELK, or AI/ML platforms.
o OpenShift, Docker, or Kubernetes experience.
o Java and SQL/Oracle experience.
o Cloudera or Cloud certifications.

## Description

Seeking a Hadoop Engineer (SME) to support enterprise Big Data platforms, focusing on Cloudera Hadoop, Spark, Kafka, OpenShift, Docker, and AI/ML technologies. This role is responsible for platform administration, cluster management, automation, monitoring, and production support while partnering with development, infrastructure, and vendor teams.
Day-to-Day
o Administer and support Hadoop platforms (Cloudera, Spark, Kafka, Hive, Impala, HBase, YARN).
o Manage upgrades, deployments, monitoring, performance tuning, and capacity planning.
o Troubleshoot Hadoop clusters, HDFS, Kerberos authentication, and production issues.
o Support OpenShift, Docker, and Data Science platforms (Jupyter).
o Automate operational tasks using Ansible, Jenkins, Python, and Shell scripting.


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