Big Data Operations Engineer

Role: Big Data Operations Engineer

Location: Dallas, TX (Day1 Onsite)

Duration: Contract

Job Responsibilities

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

Skills : 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