Big Data Hadoop Professional

• Develop and manage Hadoop-based data processing frameworks

• Build ETL pipelines using tools like Sqoop and Hive

• Work with Spark, MapReduce, Kafka, and related Big Data technologies

• Optimize data storage and processing for performance and cost efficiency

• Troubleshoot and resolve Big Data system issues

• Collaborate with cross-functional teams for data integration and analytics

• Implement data workflows using tools like Oozie

• Ensure data quality, integrity, and security

• Work with SQL and NoSQL databases for data management

• Provide technical support for production Big Data environments