Hadoop Developer

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, focusing on ingesting and analyzing structured and unstructured 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
• Optimize Spark and MapReduce jobs for performance and cost-effectiveness while implementing data governance and monitoring strategies

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline
• Five or more years of experience in designing and operating big-data pipelines on Hadoop
• Strong hands-on expertise with Apache Spark in production environments
• Experience with Hive, HDFS, Sqoop, and the broader Hadoop ecosystem
• Proficiency in SQL and experience with both relational and NoSQL data stores