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 Himanshu01@kanakits.com .

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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