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We are seeking a skilled Hadoop Developer to join our data engineering team. The ideal candidate will design, develop, and maintain scalable big data solutions using the Hadoop ecosystem. You will work closely with data engineers, analysts, and business stakeholders to process large datasets and build reliable data pipelines that support analytics and business intelligence.
Job Responsibility:
Design, develop, and maintain big data applications using the Hadoop ecosystem
Build and optimize data pipelines for ingesting, transforming, and processing large-scale datasets
Develop solutions using tools such as Hive, Spark, MapReduce, HDFS, and Kafka
Write efficient SQL queries and scripts for data extraction, transformation, and loading (ETL)
Collaborate with data scientists, analysts, and engineering teams to deliver data-driven solutions
Monitor and troubleshoot data processing workflows and cluster performance
Ensure data quality, governance, and security best practices
Optimize Hadoop jobs for performance and scalability
Document technical designs, workflows, and development processes
Requirements:
6+ years of experience in Hadoop or big data development