DevOps & Data Engineer

7 days ago

India Dotflick Solutions Full time

Profile :
DevOps and Data Engineer

Job description :
This role is a Hybrid DevOps and Data Engineering.

Mode :
WFO/WFH

Roles & responsibilities :
Setting up tools and required infrastructure

  • Defining and setting development, test, release, update, and support processes for DevOps operation
  • Have the technical skill to review, verify, and validate the software code developed in the project.
  • Troubleshooting techniques and fixing the code bugs
  • Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
  • Encouraging and building automated processes wherever possible
  • Identifying and deploying cyber security measures by continuously performing vulnerability assessment and risk management
  • Incidence management and root cause analysis
  • Coordination and communication within the team and with customers
  • Selecting and deploying appropriate CI/CD tools
  • Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
  • Mentoring and guiding the team members
  • Monitoring and measuring customer experience and KPIs
  • Managing periodic reporting on the progress to the management and the customer
  • Measure and monitor progress to ensure application releases are delivered on time.
  • Manage risks and resolves issues that affect release scope, schedule and quality.
  • Coordinate with multiple teams ensuring smooth progress in the deployment
  • Support Tech team continuous integration build environment and automated package migration processes
  • Ensuring the security and compliance of the DevOps infrastructure and implementing best practices for security and compliance.
  • Troubleshooting and resolving issues related to the DevOps infrastructure and software
  • Assist in the maintenance and administration of build/release systems.
  • Design, document, implement, and maintain scripts to enhance current build/release processes
  • Experience in Linux and Shell scripting, preferably PowerShell.
  • Good experience working on agile methodology

Qualifications and Requirements :

  • Completed Bachelors degree or diploma (or equivalent experience) in Computer Science, Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible
  • 1+ years of relevant engineering experience
  • Azure certification is preferred.
  • Experience with Azure Data Factory, Azure Data Bricks, Key Vault and Storage Accounts.
  • Experience working with a Data Engineering team and understanding of Data Engineering practices.
  • Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space
  • Experience with bug tracking and task management software such as JIRA, etc.
  • Experienced in managing outages, customer escalations, crisis management, and other similar circumstances.
  • Experience with CI/CD principles and best practices including Azure DevOps and Repos.
  • Experience with ARM Templates, Terraform.
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