What are the responsibilities and job description for the Hadoop developer position at CERROALTO Digital LLC?
Design and develop big data solutions using Hadoop and its ecosystem (HDFS, MapReduce, Hive, Pig, HBase, Spark, etc.).
Implement data ingestion, transformation, and processing workflows from various sources.
Optimize Hadoop cluster performance, ensuring efficient data storage, processing, and retrieval.
Write efficient MapReduce jobs, Spark applications, and Hive queries for large-scale data processing.
Develop real-time data streaming solutions using Kafka, Flume, or Sqoop.
Monitor, troubleshoot, and resolve performance issues in Hadoop-based applications.
Work with cross-functional teams to integrate big data solutions with existing applications.
Implement data security, governance, and compliance best practices.
Perform unit testing and debugging to ensure data accuracy and integrity.
Stay updated with emerging big data technologies and recommend improvements.
Implement data ingestion, transformation, and processing workflows from various sources.
Optimize Hadoop cluster performance, ensuring efficient data storage, processing, and retrieval.
Write efficient MapReduce jobs, Spark applications, and Hive queries for large-scale data processing.
Develop real-time data streaming solutions using Kafka, Flume, or Sqoop.
Monitor, troubleshoot, and resolve performance issues in Hadoop-based applications.
Work with cross-functional teams to integrate big data solutions with existing applications.
Implement data security, governance, and compliance best practices.
Perform unit testing and debugging to ensure data accuracy and integrity.
Stay updated with emerging big data technologies and recommend improvements.
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