Hadoop Developer

Job Summary

To support a growing team, the full-time Hadoop Developer will design, build, and operate large-scale data processing pipelines and analytics platforms remotely, focusing on ingesting, transforming, and analyzing massive volumes of data.

Key Responsibilities

• Design and develop end-to-end big-data pipelines on Hadoop, integrating data from various sources
• Build robust ETL/ELT workflows using Apache Spark, Hive, and other tools while ensuring data quality and error handling
• Optimize data processing jobs and maintain data models and storage layouts to enhance performance and reliability

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
• Experience with streaming data platforms such as Kafka or Spark Streaming