Hadoop Developer

Job Summary

Joining a dynamic team, the full-time remote Hadoop Developer will design, build, and operate large-scale data processing pipelines and analytics platforms, focusing on ingesting, transforming, and analyzing massive volumes of data to support enterprise analytics and machine learning.

Key Responsibilities

• Design, develop, and operate 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
• Optimize Spark and MapReduce jobs for performance and cost-effectiveness while maintaining SLAs

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline
• Five or more years of professional experience designing and operating 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