Cloudera Data Engineer
Midis Group
Posted 30+ days ago
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Experience
2 - 5 Years
Job Location
Education
Bachelor of Science(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Cloudera Data Engineer
Job Scope
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.
Main Duties and Responsibilities
•
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.
Position Requirements
•
Strong hands-on experience with Cloudera CDP .
•
Proficiency in Hadoop ecosystem : HDFS, YARN, MapReduce, 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.
Education
Bachelor's degree in Computer Science or any other related field
Experience
•
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.
• #LI-GA2
Company Industry
Department / Functional Area
Keywords
- Cloudera Data Engineer
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