Data Engineering

2 Weeks ago • 3-5 Years

About the job

Summary_{By Outscal}

This role requires a Data Engineer with 3+ years of software design and programming experience, proficient in SQL and cloud technologies like Kusto, Databricks, and Azure Data Factory. Experience in data visualization tools like Power BI is also needed.

About the job

Microsoft’s Cloud business is expanding, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the infrastructure underlying this growth including AI!

CSCP’s vision is to empower customers to achieve more by delivering Cloud Capacity Differentiated at Scale. Our mission is to deliver capacity for all cloud services predictably through intelligent systems driven by continuous learning and a world class organization. The CSCP Organization is responsible for traditional supply chain functions such as Plan, Source, Make, Deliver, but also manages supportability (spares), decommissioning and disposition of Data center assets worldwide. We deliver the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Skype, OneDrive and the Microsoft Azure platform for external customers. Our infrastructure is comprised of a large global portfolio of more than 200 datacenters supporting services for more than 1 billion customers in over 90 countries worldwide.

As part of the Cloud Supply Chain Sustainability Engineering team in Azure, we are at the heart of Microsoft’s cloud strategy.  Our mission is to deliver a sustainable platform for our customers & partners by combining science-based approaches to climate change with an engineering culture of delivering platforms and services on Azure using the latest technologies in Azure data.

Our Culture

Growth mindset – we practice a learn it all vs a know-it-all attitude. Wins are cheered, failures are celebrated and viewed as learning opportunities.

Candor – we believe in transparency and receiving and providing regular constructive feedback across the hierarchy.

Diverse and Inclusive – every voice matters and is appreciated. This is a safe environment where you can express yourself without fear of retribution.

Leadership oriented – each of us are leaders who strive to create clarity, generate energy, and deliver success. We believe in leading with empathy, trust, and context rather than control.

We are looking for a Data Engineer, who can demonstrate the following traits:

A team player who is self-starter, customer obsessed, highly inquisitive and biased towards action.

Comfortable with cold start problems, thrive in ambiguity with an eye for detail.

Delivers results through innovation and persistence.

Have a flair for Artificial Intelligence/Machine Learning technology.

Responsibilities

Increase the efficiencies of the Cloud supply chain by working on optimization solutions.

Build the infrastructure & code to process structured, semi-structured and unstructured data sources.

Identify, design, and implement process improvements to optimize our data delivery, and re-designing infrastructure and pipelines to achieve greater scalability.

Design, develop, and maintain data pipelines and back-end services for real-time decisioning, reporting, optimization, data collection, and related functions.

Ensure that all features embody engineering best practices, elegant design, and high-quality implementation.

Collaborate with stakeholders, including Product, Executive and Domain teams to support them on data-related issues and data infrastructure needs.

Seek and incorporate continuous feedback to improve the efficiency of the business outcomes.

Passion for utilizing the BI Stack to provide value and insights to the Cloud Sustainability business.

Qualifications

Required Qualifications:

Bachelor's Degree in Computer Science, Data Science, Mathematics or equivalent field OR Master's Degree in Computer Science, Data Science, Mathematics or equivalent

Preferred Qualifications

A successful history of developing and maintaining end-to-end, high-throughput data systems and their supporting services.

3+ years of software design and programming experience with languages like C/C++/C#/Java/Python/JavaScript required.

3+ years of working knowledge on SQL and experience working with relational databases on T-SQL or PL/SQL constructs.

2+ years of experience developing Big Data applications in the cloud using technologies such as Kusto, Databricks, Spark, Azure Data Factory, Azure ML, Azure Synapse or equivalent.

2+ years of experience with data visualization tools like Power BI, Tableau or equivalent.

A successful history of manipulating, processing, and extracting value from large datasets.

A successful history of strong Analytical & Problem-Solving skill.

Proficient working knowledge of cloud-computing environments in the Azure data stack.

Utilizing a variety of data stores, including data warehouses, relational database systems, in-memory caches, and searchable document databases.

Developing for continuous integration and automated deployments.

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. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.