Cloudera Data Engineer

Maaloomatiia; Dubai; On-site; AED 223,200 - 334,800; Full time

Job summary

A leading data services company in Dubai seeks an experienced Cloudera Data Engineer to design and maintain big data pipelines. The role involves developing and optimizing ETL workflows using Cloudera CDP components like Hadoop and Spark, managing HDFS storage, and ensuring data governance across environments. Candidates should have strong skills in SQL and distributed systems, with a Bachelor's degree in Computer Science. Experience with cloud platforms is preferred, making this a crucial role for data-driven initiatives.

Qualifications

• Strong hands-on experience with Cloudera CDP.
• Proficiency in Hadoop ecosystem: HDFS, YARN, MapReduce, Hive, Impala.
• Strong experience with Apache Spark (PySpark or Scala preferred).
• Solid understanding of distributed systems and big data architecture.

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 for high availability and performance.
• Perform production support activities including issue resolution.

Skills

Cloudera CDP

Hadoop

Spark

Hive

HDFS

SQL

Linux

Shell scripting

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Spark

Docker

Kubernetes

Git

Job description

Date: Mar 13, 2026

Location: Dubai, AE

Company: MAALOOMATIA ARABIAN GULF TRADING L.L.C.

Req ID: 2854

Job Title

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.