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 structured and unstructured 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 tools like Apache Spark, Hive, and Sqoop, ensuring data quality and error handling
• Optimize Spark and MapReduce jobs for performance and cost-effectiveness while implementing monitoring and logging strategies

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline
• Five or more years of experience designing and operating big-data pipelines on Hadoop
• Strong hands-on expertise with Apache Spark in production environments
• Experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem
• Proficient in SQL and familiar with workflow orchestration tools such as Airflow or Oozie