DevOps Lead

1 month ago

Mumbai, India dentsu Full time
The purpose of this role is to lead the collaboration with SRE Engineers and DevSecOps Engineers to formulate designs that can be built, tested and deployed through the Route to Live and into Production using continuous integration / deployment.

Job Title:DevOps Lead

Job Description:Key responsibilities:Must HaveA Microsoft certified professional in365 Marketing Functional Consultant AssociateIt is anticipated the candidate will have at least 4 years of experience in a similar role.Experience implementing/ maintaining Dynamics 365 Marketing, Sales and ideally Customer Insights projects, from implementation to QA and handover (either as an external agent or in-house) for two or more separate organization implementations.Experience of working in Visual Studio and Azure DevOps for Agile/SCRUM environments, including deployment through DevOps pipelines.Hands on development and deployment experience of Plugin development (JavaScript, C#, HTML), Custom Workflows and Web resources.Power platform knowledge, specifically Power Apps and Solution Patching.It is essential to have experience of working with the Microsoft Dataverse particularly custom entities.A technical background either, bachelor’s, master’s degree, or work in a similar field.Good presentation and verbal skills with technical and non-technical audiences with the ability to interact with people of varying backgrounds, technical abilities, languages, and cultures.Ability to adapt in a dynamic working environment, learn quickly and solve problems.Able to interpret technical and business objectives and needs, with attention to detail.Nice to HavePower Automate and Business Process Flows.Power Platform administration knowledge, including security roles and rules, duplicate detection and deploying Post State Management xml changes would be beneficial.A general programming knowledge, including, Data types, Object oriented structures, Operators, Conditionals, Inheritance, DOM, JSON, RESTful APIs would be advantageous.An understanding of databases, data warehouses, data lakes, data modelling, data integration, structured/unstructured data and ETL concepts would be a bonus.

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