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ATT Communication Services
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Analyst Data/AI Engineering

Analyst Data/AI Engineering

ATT Communication Services

3 - 6 years

5 - 8 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

ksh kubernetes c++ administration openshift redhat linux redis scripting visual studio code java powershell architecture cd snowflake python github cloud security c ubuntu event hub azure security data bricks cloud administration terraform bash

Work Mode

Work from Office

Job Type

Full Time

Job Description

Must have 3-6 Years of working experience within both Azure cloud and on-premises Linux environments, along with a solid understanding of cloud security and cloud administration.
The candidate will be responsible for performing recurring and ad-hoc security compliance, image updates, and security remediations. DevOps responsibilities will include building and maintaining CI/CD pipelines using tools such as Terraform, Ansible, or Jenkins, as well as implementing updates to existing deployment pipelines and handling the deployments.
Strong scripting skills are essential, with experience in languages such as Perl, Python, and Bash. Familiarity with containerization platforms like OpenShift or Kubernetes in a Linux environment is highly preferred. Knowledge of database deployment and support within cloud environments is also desirable.
Desired Skills & Qualifications:
Advanced knowledge and hands-on experience with Redhat, Rocky, and Ubuntu. Strong understanding of Azure security, administration, architecture, ADO Pipeline CI/CD, Terraform, GitHub Actions, Powershell, Databricks, Snowflake, EventHubs. Experience with Ansible and Jenkins for automated deployments. Expertise in KSH/BASH, Python, C/C++, and JAVA. Proficient in using Visual Studio Code, GitHub, JFROG Proficient in RHEL KVM, Openshift, Kubernetes, REDIS, and KAFKA. Strong problem-solving skills and the ability to troubleshoot complex issues. Excellent communication and collaboration skills to work effectively within a team. Ability to manage multiple tasks and prioritize effectively in a fast-paced environment.

Flexible to work from office 3 days(in a week) from 12:30pm to 9:30pm

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Analyst Data/AI Engineering