Hadoop Developer

Job Summary

Seeking a skilled Hadoop Developer for a full-time remote position to design, build, and operate large-scale data processing pipelines and analytics platforms using Hadoop and related big-data ecosystems.

Key Responsibilities

• Design and develop end-to-end big-data pipelines on Hadoop, ingesting data from various sources
• Build robust ETL/ELT workflows using tools like Apache Spark, Hive, and Sqoop, ensuring data quality and recoverability
• 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 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
• Hands-on experience with streaming data platforms such as Kafka or Spark Streaming