Job Description

Hello There,

My name is Himanshu Sharma , and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Lead data engineer with our esteemed client. If you are interested then please share your updated resume at [email protected] .

Job Description

Positoin : Lead data engineer

Location : St. Louis, MO Onsite (Must be Local)

Duration : Long term contract

Note : Strong experience with Spark, Python, Azure Data Factory, Alteryx/NiFi for ETL, Microsoft Graph APIs, and Microsoft 365 tools.

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

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

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