Aws (with Pyspark) | 4 To 6 Years | Pune & Bengaluru Job in Capgemini

• The DataOps Engineer is a highly skilled expert in their field of excellence in AWS Cloud
• The role of DataOps collaborates with software developers system operators and other IT staff members
• The role will often cross and merge the barriers that exist between software development testing and operations teams and keep existing networks in mind as they design plan and test
• Some of the typical work may include Designed tools for managing the infrastructure and programmed clean re usable simple codes
• Developed code for extensive test coverage performed continuous deployment in a professional software engineering environment
• Worked on various platforms with different programming languages and supported the production cluster management system
• Configured server images optimized the task performance in correspondence with the engineers

• The responsibilities skills and duties of this job include Mandatory Very strong knowledge of cloud Preferably AWS native design patterns processes and best practices
• Expertise in PySpark scripting

• Nice to have implemented DevOps practices tools in areas such as continuous integration Ability to set up work with E2 instances
• Experience with building automated test pipelines and use Splunk Cloudwatch Cloudtrail for alerts and notifications
• Developer background experience with one of the following languages Java Spring Ruby Scala J2EE
• Build and deploy on platforms such as Buildkite Jenkins Travis CI Bamboo GitLab TeamCity Artifactory Nexus etc
• Experience working with or implementing of monitoring and logging solutions like ELK Prometheus Splunk AppDynamics Sumo Logic New Relic etc
• Experience with branching models in Git
• Preferably AWS Certified professional Qualifications The following qualifications would be advantageous

Ref:

491225

Posted on:

August 21, 2020

Experience level:

Experienced

Contract type:

Permanent

Location:

Pune

Business units:

FS

Department:

Cloud