Required Skills, Experience, & Abilities:
Spark
Python
ETL tools like Alteryx, NIFI
Strong analytical skills
Detail-oriented to explore the data
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

Desired Skills:
SQL
AWS or Azure

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:
o identifying risks
o escalating potential concerns on a timely basis
o 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