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Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric. The Fabric Data Engineering Experience & Infrastructure team is hiring a Principal Engineer to help build key infrastructure service powering the core analytics engines for Fabric Data Engineering, based on Apache Spark. You will help implement these infrastructure services with advanced capabilities designed to help Data Engineers achieve more through Microsoft Fabric.
Job Responsibility:
Collaborate with Product managers on product specifications and requirements
Collaborate with the US team on technical aspects and support the local team to ramp up, contribute and support large scale business critical Azure services
Guide design and development of high quality software incrementally
Solid execution: Plan, schedule and deliver quality software incrementally
Maintain and operate online services
Review changes to product codebase and provide constructive feedback that align with industry best practices to mentor and grow junior and senior engineers
Participate respectfully in design, architecture, execution reviews or other team discussions
Listen to others perspectives and feedback and take action on valid feedback
Provide constructive feedback to others
Partner with other teams in the organization to leverage work ideas of others to deliver efficiently
Embody our culture and values
Requirements:
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering
Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
5+ years of software development experience building scalable, distributed services using C# or other high level languages
5+ years of experience with multi-threaded/parallel programming
5+ years of software development experience on Service Fabric or Kubernetes