Hadoop Developer
Location: Remote
Compensation: Salary
Reviewed: Fri, May 29, 2026
This job expires in: 30 days
Job Summary
Seeking an experienced Hadoop Developer for a full-time remote position to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop, focusing on ingesting, transforming, and analyzing massive volumes of data.
Key Responsibilities
- Design and develop end-to-end big-data pipelines on Hadoop, ingesting data from various sources
- Build robust ETL/ELT workflows using Apache Spark, Hive, and other tools, ensuring data quality and recoverability
- Develop high-throughput streaming data pipelines and optimize Spark and MapReduce jobs to meet performance requirements
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related technical discipline
- Five or more years of professional experience with big-data pipelines on Hadoop
- Strong hands-on expertise with Apache Spark in production environments
- Solid experience with Hive, HDFS, and the broader Hadoop ecosystem
- Hands-on experience with streaming data platforms such as Kafka or Spark Streaming
COMPLETE JOB DESCRIPTION
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