Microsoft
Overview
Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end-to-end, simplified solutions.
The Microsoft Security organization accelerates Microsoft's mission and bold ambitions to ensure that our company and industry are securing digital technology platforms, devices, and clouds in our customers' heterogeneous environments, as well as ensuring the security of our own internal estate.
Our culture is centered on embracing a growth mindset, inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.
Role Overview
In this role, you will be part of the Microsoft Identity security team, which is on a mission to protect users from account compromise and fraud. Our data science team is at the core of this mission, creating and improving machine learning-based detections to find and block malicious actors. As a Data Engineer, you will work closely with data scientists and machine learning engineers to implement next-generation cloud-based ML and data infrastructure supporting a full-stack Data Science team. You will create, maintain, and optimize large data sets and data pipelines used by our cross-functional Data Science team. Additionally, you will partner with data scientists and analysts to define business metrics and build dashboards for monitoring our protection systems. If you love big data challenges, want to apply your skills to protect millions of Microsoft customers, and thrive in a talented, mission-driven team, then this job is for you! Our Values and Culture
Microsoft's mission is to empower every person and organization to achieve more. We foster a growth mindset, innovate to empower others, and collaborate to reach shared goals. We value respect, integrity, and accountability, creating an inclusive culture where everyone can thrive. Responsibilities
Implement robust data pipelines to extract, validate, and process raw data within your area of responsibility. Optimize the performance of big data jobs and support existing visualizations and aggregations to ensure pipeline efficiency. Maintain compliance with applicable laws and policies across your workstreams. Advocate for best practices in data engineering. Embody our culture and values. Helping candidates find great careers is our goal. The information you provide here is secure and confidential. We encourage you to apply directly for this job at the employer’s website.
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In this role, you will be part of the Microsoft Identity security team, which is on a mission to protect users from account compromise and fraud. Our data science team is at the core of this mission, creating and improving machine learning-based detections to find and block malicious actors. As a Data Engineer, you will work closely with data scientists and machine learning engineers to implement next-generation cloud-based ML and data infrastructure supporting a full-stack Data Science team. You will create, maintain, and optimize large data sets and data pipelines used by our cross-functional Data Science team. Additionally, you will partner with data scientists and analysts to define business metrics and build dashboards for monitoring our protection systems. If you love big data challenges, want to apply your skills to protect millions of Microsoft customers, and thrive in a talented, mission-driven team, then this job is for you! Our Values and Culture
Microsoft's mission is to empower every person and organization to achieve more. We foster a growth mindset, innovate to empower others, and collaborate to reach shared goals. We value respect, integrity, and accountability, creating an inclusive culture where everyone can thrive. Responsibilities
Implement robust data pipelines to extract, validate, and process raw data within your area of responsibility. Optimize the performance of big data jobs and support existing visualizations and aggregations to ensure pipeline efficiency. Maintain compliance with applicable laws and policies across your workstreams. Advocate for best practices in data engineering. Embody our culture and values. Helping candidates find great careers is our goal. The information you provide here is secure and confidential. We encourage you to apply directly for this job at the employer’s website.
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