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.
Position
Position : Lead data engineer
Location
Location : St. Louis, MO Onsite (Must be Local)
Duration
Duration : Long term contract
Requirements / Note
Strong experience with Spark, Python, Azure Data Factory, Alteryx / NiFi for ETL, Microsoft Graph APIs, and Microsoft 365 tools.
Responsibilities
- Assists senior resources in the assessment, analysis and implementation Microsoft Graph Data Connect
- Acts as a technical lead for the project team and coordinates 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 basisimplementing both risk mitigation plans and control functionsFollows policies, standards, guidelines, and design patterns, researching industry best practices across multiple technologies and business domainsWorks closely with the project team to understand requirements and milestonesImplements proper quality checks and monitors to ensure reliable functioning of the solutionCreates well-defined monitoring tools, systems, and processes that effectively and efficiently manage the interconnected infrastructureExperiences
Experience in collaborating with external teams and supporting initiatives at an enterprise levelExposure to Azure, M365, Microsoft Graph, Microsoft Graph Data ConnectHands 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 connectGood understanding of optimizing cost with efficient resource usageFoundational knowledge of data lake & data science techniques is a plusCreative and nimble with ability to overcome obstacles to solve hard problemsFlexible and responsive, with ability to adapt to rapid change in direction or business priorityOpenness to feedback and strong self-awarenessSeniority level
Mid-Senior levelEmployment type
Full-timeJob function
Information TechnologyIndustries
Software DevelopmentJ-18808-Ljbffr