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Azure Data Engineer

In United States

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Azure Data Engineer   

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JOB TITLE:

Azure Data Engineer

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

Ofallon United States

JOB DESCRIPTION:

Job Description Summary Who is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

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

 

Position Details

POSTED:

Jan 17, 2023

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S166199050771611385

LOCATION:

United States

CITY:

Ofallon

Job Origin:

OORWIN_ORGANIC_FEED

A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Azure Data Engineer    Apply

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<p>Job Description Summary Who is Mastercard?</p> <p>Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.</p> <p>Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.</p> <p>Overview</p> <p>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.</p> <p>Responsibilities</p> <ul> <li>Assists senior resources in the assessment, analysis and implementation Microsoft Graph Data Connect</li> <li>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</li> <li>Supports holistic platform security posture which includes:</li> <li>identifying risks</li> <li>escalating potential concerns on a timely basis</li> <li>implementing both risk mitigation plans and control functions</li> <li>Follows policies, standards, guidelines, and design patterns, researching industry best practices across multiple technologies and business domains</li> <li>Works closely with the project team to understand requirements and milestones</li> <li>Implements proper quality checks and monitors to ensure reliable functioning of the solution</li> <li>Creates well-defined monitoring tools, systems, and processes that effectively and efficiently manage the interconnected infrastructure</li> </ul> <p>Experiences</p> <ul> <li>Experience in collaborating with external teams and supporting initiatives at an enterprise level</li> <li>Exposure to Azure, M365, Microsoft Graph, Microsoft Graph Data Connect</li> <li>Hands on experience using Azure - Compute, Storage (blob), configuration including Active</li> <li>Directory Approval Groups, Application registrations, Data Factory, building automation pipelines, user provisioning, reporting, monitoring & alerts etc.</li> <li>Good understanding of Microsoft 365, Microsoft Graph & Microsoft Graph Data connect</li> <li>Good understanding of optimizing cost with efficient resource usage</li> <li>Foundational knowledge of data lake & data science techniques is a plus</li> <li>Creative and nimble with ability to overcome obstacles to solve hard problems</li> <li>Flexible and responsive, with ability to adapt to rapid change in direction or business priority</li> <li>Openness to feedback and strong self-awareness</li> </ul> <p> </p>


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