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, Ni Fi, 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, Ni Fi, 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 Dev Ops/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, Ni Fi, 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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