Data Engineer

Overview

Microsoft Digital (MSD)

Microsoft Digital (MSD)

Microsoft's mission is to empower every person and organization on the planet to achieve more. We embrace a growth mindset, encouraging teams and leaders to bring their best every day. Join us to shape the future of work, innovation, and inclusion.

highly skilled and motivated Data Engineer

Qualifications

Required

• Bachelor's in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years of experience in business analytics, data science, data modeling, or data engineering
• OR

• Master's in a related field

• OR

• Equivalent experience

• Industry experience in a deep technical role, with at least 2 years building products in Business Intelligence, Analytics, Cloud services, or Productivity applications

• Experience with data pipelining and transformation technologies (e.g., Spark) and the Azure Data tech stack

• Hands-on experience with big data technologies and data analytics tools

• Strong data visualization skills with a focus on driving business impact

• Knowledge of machine learning/predictive modeling is a plus

• Strong team player with excellent communication and collaboration skills

• Proven ability to self-direct and execute effectively

Other Requirements

• Must pass Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

Preferred

• Prior experience in DevOps
• Experience working with global teams and multiple stakeholders
• Experience building and operationalizing ML models in production
• Strong problem-solving and decomposition skills with technical articulation
• Ability to work independently and in a collaborative, team-oriented environment
• Strong communication and stakeholder management skills

Responsibilities

• Design and implement scalable, reliable, and secure software using microservices, event-driven architecture, and cloud infrastructure
• Develop and maintain CI/CD pipelines with Azure DevOps, automating build, test, and deployment processes while integrating AI/ML for predictive diagnostics and intelligent automation
• Build reusable components, frameworks, and libraries to support faster and higher-quality development
• Apply best practices in CI/CD, infrastructure as code, observability, and debugging to ensure smooth software delivery
• Use AI/ML techniques to solve complex problems and develop innovative solutions
• Rapidly prototype Proof of Concepts (PoCs), especially with AI/ML capabilities

#MSD #MSDJOBS #EEJOBS