Data Engineer

Overview - The overall objective of this engagement is to manage and execute an organizational network analysis pilot leveraging Microsoft Enterprise Viva platform as a core integration engineer of the project team. Responsibilities: • Assists senior resources in the assessment, analysis and implementation Microsoft Graph Data Connect • Acts as a technical lead for the project team and coordinate with different stakeholders including platform engineering, operations, data science & Microsoft technical support to help implement the solution • Supports holistic platform security posture which includes: • identifying risks • escalating potential concerns on a timely basis • implementing both risk mitigation plans and control functions • Follows policies, standards, guidelines, and design patterns, researching industry best practices across multiple technologies and business domains • Works closely with the project team to understand requirements and milestones • Implements proper quality checks and monitors to ensure reliable functioning of the solution • Creates well-defined monitoring tools, systems, and processes that effectively and efficiently manage the interconnected infrastructure • Participate in team prioritization discussions with Product/Business stakeholders • Estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements • Automate build, operate, and run aspects of software • Drive code/design/process trade-off discussions within their team when required • Report status and manage risks within their primary application/service • Drive integration of services focusing on customer journey and experience • Perform demos/acceptance discussions in interacting with Product owners • Understands operational and engineering experience, actively works to improve experience and metrics in ownership area • Develop complete understanding of end-to-end technical architecture and dependency systems • Drive adoption of technology standards and opinionated frameworks, and review coding, test, and automation work of team members • Mentor and guide new and less-experienced team members • Identify opportunities to improve an overall process and trim waste • Share and seek knowledge within their Guild/Program to drive reuse of patterns/libraries/practices and enhance productivity Experiences: • Experience in collaborating with external teams and supporting initiatives at an enterprise level • Exposure to Azure, M365, Microsoft Graph, Microsoft Graph Data Connect • Hands on experience using Azure - Compute, Storage (blob), configuration including Active • Directory Approval Groups, Application registrations, Data Factory, building automation pipelines, user provisioning, reporting, monitoring & alerts etc. • Good understanding of Microsoft 365, Microsoft Graph & Microsoft Graph Data connect • Good understanding of optimizing cost with efficient resource usage • Foundational knowledge of data lake & data science techniques is a plus • Creative and nimble with ability to overcome obstacles to solve hard problems • Flexible and responsive, with ability to adapt to rapid change in direction or business priority • Openness to feedback and strong self-awareness