Cloudera Data Engineer

Location: Bengaluru

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 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, 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.