Data Engineer II

We are looking for a Data Engineer II to lead a critical set of functions that build highly scalable data platforms and deliver services and experiences for empowering Microsoft’s Teams Phone Systems Business to be successful. This is a unique opportunity to use your software skills and experience in providing data towards building core technologies that will directly affect the future of Microsoft Phone system business. In this position, you will be part of a fun-loving, inclusive team that seeks challenges, loves learning and values teamwork. You will collaborate with team members and partners to build high-quality and innovative data platforms with full stack data solutions using latest technologies in a dynamic and agile environment and have opportunities to anticipate future technical needs of the team and contribute in technical space to keep raising the bar for our competition. You will be responsible for supporting Business Intelligence for the entire business while expanding the provisioning of data as a currency for the business lifeline. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. Maintains customer privacy by enforcing data governance structures, defining data accessibility, using data in compliance with applicable laws and policies, and defining and documenting data classification and lineage.

This role requires you to be onsite 3 days a week in Microsoft's offices in Redmond, WA. By applying to this U.S. Redmond, WA position, you are required to be local to the Seattle area and relocation does not apply/is not provided for the role.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, data modeling or data engineering work
  • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ years experience in business analytics, data science, data modeling or data engineering work
  • OR equivalent experience.
• 2+ years of experience of building high scale enterprise Business Intelligence and data engineering solutions.
  
• 1+ years of experience in designing and developing distributed systems on cloud platform.
  
• Experience using ML, anomaly detection, predictive analysis, and/or exploratory data analysis.

Other Requirements

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.

Additional or Preferred Qualifications

• Experience using a variety of data stores.
• Experience working with large data sets in SQL/Data Bricks/PySparkSQL/Azure Data Factory or similar.
• Experience in Business Intelligence or visualization with tools such as Power BI.
• Demonstrated ability to effectively work and operate in cross-functional global organization.

#M365CORE   #IC3JOBS

• Build world class software engineering components and functions.
• Be passionate about technology and obsessed about customer needs.
• Champion data-driven decisions for features identification, prioritization and delivery.
• Deliver on an ambitious product and services roadmap, including building new services on top of vast amount data collected by our batch and near real time data engines.
• Design and architect internet scale and reliable services.
• Leverage ML models knowledge to select appropriate solutions for business objectives.
• Communicate effectively and build relationship with our partner teams and stakeholders.
• Help shape our long-term architecture and technology choices across the full client and services stack.
• Experiment with and recommend new technologies that simplify or improve the tech stack.
• Work to help build an inclusive working environment.