Cloudera Data Engineer

Cloudera Data Engineer

Location: Remote (UAE Time Zone)
Experience: 5+ Years
Availability: Immediate joiners or candidates who can start within 30 days preferred

Role Overview

We are seeking an experienced Cloudera Data Engineer to design, build, and maintain data pipelines and processing frameworks across Cloudera’s ecosystem. The ideal candidate will have strong expertise in Spark, Hive, Impala, NiFi, and Oozie, and proven experience optimizing large-scale data pipelines for performance and reliability.

Key Responsibilities

• Design, build, and maintain ETL/ELT pipelines using Spark, Hive, Impala, NiFi, and Oozie.

• Optimize data pipelines for performance, reliability, and cost efficiency across batch and streaming workloads.

• Develop automation scripts and reusable frameworks for data ingestion, transformation, and cleansing.

• Collaborate with Cloudera Administrators to tune performance and manage cluster resources efficiently.

• Troubleshoot and resolve data pipeline failures, performance bottlenecks, and data quality issues.

• Monitor cluster utilization, job performance, and data throughput using Cloudera Manager.

• Work with DevOps/Infrastructure teams to define and maintain CI/CD pipelines, automation for deployments, and monitoring of data jobs.

• Participate in incident management, root cause analysis, and preventive maintenance.

• Ensure pipelines meet SLAs, data quality, and latency requirements for analytics workloads.

Requirements

• 5+ years of experience as a Data Engineer in a Cloudera-based environment.

• Strong hands-on experience with Spark, Hive, Impala, NiFi, and Oozie.

• Solid understanding of ETL design, performance optimization, and data governance principles.

• Experience with Linux/Unix scripting and CI/CD integration.

• Excellent troubleshooting and communication skills.

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