Navit Software Solutions

Person will be responsible to Perform Big Data Administration and Engineering activities on multiple Hadoop, Kafka, Hbase and Spark clusters
Work on Performance Tuning and Increase Operational efficiency on a continuous basis
Monitor health of the platforms and Generate Performance Reports and Monitor and provide continuous improvements
Working closely with development, engineering and operation teams, jointly work on key deliverables ensuring production scalability and stability
Develop and enhance platform best practices
Ensure the Hadoop platform can effectively meet performance SLA requirements
Responsible for Big Data Production environment which includes Hadoop (HDFS and YARN), Hive, Spark, Livy, SOLR, Kafka, Airflow, Nifi, Hbase etc
Perform optimization, debugging and capacity planning of a Big Data cluster
Perform security remediation, automation and self heal as per the requirement

Basic Qualifications

3+ years of work experience with a Bachelor s Degree or an Advanced Degree
Hands on Experience in Big Data production clusters -Hadoop (HDFS and Yarn) Hive , Spark, Kafka is must.

Preferred Qualifications

Minimum 3 years of work experience in maintaining, optimization, issue resolution of Big Data large scale clusters, supporting Business users and Batch process.
Hands-on Experience No SQL Databases HBASE is plus
Prior Experience in Linux / Unix OS Services, Administration, Shell, awk scripting is a plus
Excellent oral and written communication and presentation skills, analytical and problem solving skills
Self-driven, Ability to work independently and as part of a team with proven track record
Experience on Hortonworks distribution or Open Source preferred

Work Hours:

Incumbent must make themselves available during core business hours
Occasional weekend and evening hours needed, on a rotational basis for operational support.

Travel Requirements: