We are on a mission to make Azure the most reliable, distributed cloud on the planet. Data is a crucial part of realizing this mission. We interpret petabytes of data and create scalable solutions that impact millions of customers all over the planet. Join us and build a data-driven culture to help the organization make informed decisions that solve important problems.

The Azure Quality Initiative (AQI) team reports out of Azure Edge + Core Office of the CTO. We understand that driving meaningful impact means empowering and enabling others to achieve more. The AQI team accelerates projects that span the entirety of Azure, in partnership with senior members of leadership, to improve the quality of Azure. We combine our strengths to produce actionable insights from disperse data, to make Azure deployments more safe, reliable and, and secure.

Responsibilities

As a data engineer on the AQI team, you will have the incredible opportunity to work on business-critical initiatives that directly contribute to the future of Azure’s business. Some of your responsibilities include
· Create and maintain Big Data ETL pipelines
· Enable rapid prototyping of ideas for immediate feedback
· Build metrics and dashboards for our customers and stakeholders
· Implement Data/ML solutions on complex, high-volume, high-dimensionality data from various sources
· Partner with data scientists, analysts, software engineers, and product managers to measure and evaluate customer experience
· Standardize data modeling and design frameworks for analysis, design, building, testing and maintenance
· Communicate feature and systems health through data storytelling and visualization

Qualifications

Required Qualifications:
· MS/PhD in CS, Engineering, Statistics, Applied Math, or a related field or 2+ years industry experience
· Proficient coding in one or more of the following languages: Python, Java, Scala or similar
· Experience working with Spark and/or other Big Data technologies
· Expertise in T-SQL and SQL development using stored procedures & frameworks
· Prior knowledge of ETL/ELT, Data Modeling, and BI systems
Preferred Qualifications
· Data engineering in a cloud environment (Azure, AWS, GCP or similar)
· Machine Learning, Data Science, and statistical modeling experience
· Track record maintaining a high bar for quality, and passionate about engineering rigor
· Experience building large real-time data pipelines and/or web services
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.