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Developer - Big Data/hadoop/devops/cloud @ Career Infosystem

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 Developer - Big Data/hadoop/devops/cloud

Desired Candidate Profile


- Linux: 5 or more years in Unix systems engineering with experience in Red Hat Linux, Centos or Ubuntu.

- AWS: Working experience and good understanding of the AWS environment, including VPC, EC2, EBS, S3, RDS, SQS, Cloud Formation, Lambda and Redshift.

- DevOps: Experience with DevOps automation - Orchestration/Configuration Management and CI/CD tools (Ansible, Chef, Puppet, Jenkins, etc.). Puppet and Ansible experience a strong plus.

- Programming: Experience programming with Python, Bash, REST APIs, and JSON encoding.

- Version Control: Working experience with one or more version control platforms (Git, TFS). Nice to have Git experience.

- Hadoop: 1 year operational experience with the Hadoop stack (MapReduce, Spark, Sqoop, Pig, Hive, Impala, Sentry, HDFS).

- AWS EMR: Experience in Amazon EMR cluster configuration.

- ETL: Job scheduler experience like Oozie or Airflow. Nice to have Airflow experience.

- Testing: Be very familiar with CI / CD, good in scripting like Phyton, Unix etc

- Security: Experience implementing role based security, including AD integration, security policies, and auditing in a Linux/Hadoop/AWS environment.

- Monitoring: Hands on experience with monitoring tools such as AWS CloudWatch, Nagios or Splunk.

- Backup/Recovery: Experience with the design and implementation of big data backup / recovery solutions.

- Networking: Working knowledge of TCP/IP networking, SMTP, HTTP, load-balancers (ELB, HAProxy) and high availability architecture.

- Ability to keep systems running at peak performance, upgrade operating system, patches, and version upgrades as required

Education:

UG:   Any Graduate - Any Specialization

PG:  Any Postgraduate - Any Specialization

Contact Details:

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Keyskills:   hive oozie sqoop impala mapreduce hadoop hdfs spark pig big data cloud devops red hat linux centos ubuntu Python AWS

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