Cloudera Data Engineer - Remote

Overview

We are seeking an experienced Cloudera Data Engineer to design, build, and maintain data pipelines and processing frameworks across Cloudera's ecosystem.

In Short

• 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.

Benefits

• Flexible working hours.
• Opportunity to work remotely.
• Access to the latest technologies.
• Professional development opportunities.
• Collaborative team environment.