| Most Urgent Requirement || Big Data Operations Engineer || Onsite From Day one ( Denver, CO ) || Long Term Contract at Denver, Colorado, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=353171&uid= From: Shivam, Applab Systems [email protected] Reply to: [email protected] Hi, I hope you are doing great. Position: Big Data Operations Engineer Location: Denver, CO (Onsite From day One) Job Description: Over All experience must be 8 years Experience in setting up production Hadoop clusters with optimum configurations Drive automation of Hadoop deployments, cluster expansion and maintenance operations Manage Hadoop cluster, monitoring alerts and notification Job scheduling, monitoring, debugging and troubleshooting Monitoring and management of the cluster in all respects, notably availability, performance and security Data transfer between Hadoop and other data stores (incl relational database) Set up High Availability/Disaster Recovery environment Debug/Troubleshoot environment failures/downtime Performance tuning of Hadoop clusters and Hadoop Map Reduce routines Skills Experience and Requirements Experience with Kafka, SPARK etc Experience working with AWS big data technologies (EMR, Redshift, S3, Glue, Kinesis, Dynamodb, and Lambda) Good knowledge on creation of Volumes, Security group rules, Key pairs, Floating IPs, Images and Snapshots and Deploying Instances on AWS Experience configuring and/or integrating with monitoring and logging solutions such as syslog, ELK (Elastic, Logstash, and Kibana) Strong UNIX/Linux systems administration skills, including configuration, troubleshooting and automation Knowledge of Airflow, NiFi, Streamsets, etc Knowledge of container virtualization Best Regards, Shivam Technical Recruiter Direct: +1 732-554-3865 Email Id [email protected] 4365 Route 1 South, Suite 105 Princeton, NJ - 08540 www.applabsystems.com Keywords: sthree Colorado Idaho New Jersey http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=353171&uid= |
| [email protected] View All |
| 02:19 AM 10-Feb-23 |