DevOps & Data Engineer (2-12 yrs)

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.

- Co-ordinate 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.