About the Role

Build and optimize real-time data pipelines for Microsoft's Partner Ecosystem, enabling accurate incentive payouts. Leverage AI tools like GitHub Copilot and LLMs to deliver reliable, high-quality features on a global scale. Focus on data processing services that support partner success and operational excellence.

Key Responsibilities

• Works with stakeholders to determine user requirements for features
• Contributes to design documents and identifies dependencies for product areas
• Creates and implements code for products, services, or features
• Breaks down larger work items into smaller ones and provides estimations
• Acts as on-call DRI to monitor systems and restore services for simple problems

Required Skills & Qualifications

Must Have:

• Bachelor's Degree in Computer Science or related field and 2+ years technical engineering experience with coding (C, C++, C#, Java, JavaScript, Scala, Python) or equivalent experience
• Industry experience with AI-assisted coding tools (e.g., GitHub Copilot) and large language models (LLMs)
• 2+ years experience designing and building data pipelines using Spark-based technologies (e.g., Synapse, Databricks) with SQL fundamentals
• 2+ years experience maintaining and operating data processing services in production
• Ability to pass Microsoft Cloud background check upon hire and every two years

Nice to Have:

• Bachelor's Degree in Computer Science or related field and 4+ years technical engineering experience or Master's Degree and 2+ years experience
• 3+ years experience with Delta Lake (batch or streaming), including schema evolution, partitioning, and performance optimization
• Familiarity with event streaming platforms (e.g., Event Hubs, Kafka) and real-time processing systems

Benefits & Perks

• Industry leading healthcare