FUNCTIONALRESPONSIBILITIES:

• Responsible for understanding the data use cases.
• Design, develop and implement data loading solutions into Hadoop utilizing various native and custom API connectors.
• Manage Hadoop and Spark cluster environments - Cluster sizing, cluster configuration, smoke testing, service allocation, security setup, performance tuning and ongoing monitoring.
• Contribute to planning and implementation of hardware and software upgrades.
• Work with Operations on monitoring and troubleshooting of incidents to maintain service levels.
• Develop and deliver data connectivity and storage solutions.
• Architect, develop and debug Hadoop applications using Java and other Hadoop eco system components like HBase, Pig and Hive.
• Research and recommend methods and technologies to improve cluster operation and user experience.
• Mentor and train other associates.

QUALIFICATIONS:

• Bachelor's Degree in Information Technology or equivalent combination of course work and job experience
• 5+ years of experience in architecting, configuring, installation and maintenance of Open Source Big-data applications, with focused experience on MapR distribution.
• Scripting experience using Shell, Python or PowerShell.
• Experience in installing and deploying applications on Linux Platform.
• Experience in upgrading Linux / MapR
• Hands on experience with distributed application architecture and implementation using Map
• Hands on experience with distributed application architecture and implementation using MapR
• Experience handling different file formats in Hadoop.
• Core experience in Java/Python for data processing and other scripting languages optional.
• Experience with big data workflows and Lambda architecture
• Experience with Linux OS and Installation/Configuration and Maintenance of MapR Distribution.