Cloudera Data Engineer

Job Title

Cloudera Data Engineer

We are seeking an experienced Cloudera Data Engineer with strong hands‑on expertise in Cloudera CDP, Hadoop, Spark, Hive, and HDFS
. The ideal candidate will be responsible for building and maintaining big data pipelines, optimizing data workflows, and supporting production environments to ensure reliability and performance.

• Design, build, and maintain big data pipelines using Cloudera CDP components.
• Develop and optimize ETL/ELT workflows using Spark, Hive, and Hadoop ecosystems.
• Manage and maintain HDFS storage, ensuring high availability and performance.
• Perform production support activities, including issue resolution, monitoring, and performance tuning.
• Work with data scientists, analysts, and other engineering teams to support data-driven initiatives.
• Ensure data governance, security, and compliance across big data environments.
• Troubleshoot cluster‑level issues related to resource utilization, scheduling, and configuration.
• Participate in solution design, architecture discussions, and technical documentation.

• Strong hands‑on experience with Cloudera CDP
  .
• Proficiency in Hadoop ecosystem
  : HDFS, YARN, Map Reduce, Hive, Impala.
• Strong experience working with Apache Spark (PySpark or Scala preferred).
• Solid understanding of distributed systems and big data architecture.
• Experience with production support and troubleshooting in big data environments.
• Strong SQL skills and experience optimizing large‑scale queries.
• Familiarity with Linux, shell scripting, and automation tools.
• Experience with version control (Git) and CI/CD workflows is a plus.

Bachelor's degree in Computer Science or any other related field

• Experience with cloud platforms (AWS, Azure, GCP) for big data workloads.
• Exposure to Kafka, NiFi, Oozie, or similar data orchestration tools.
• Knowledge of Docker, Kubernetes, or containerized environments.
• Understanding of security, encryption, and data governance concepts.