Hadoop Developer

Job Summary

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

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
• Develop high-throughput streaming data pipelines and optimize Spark and MapReduce jobs to meet performance 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, Sqoop, and the broader Hadoop ecosystem
• Experience with streaming data platforms such as Kafka or Spark Streaming