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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 data integration team builds data gravity on the Microsoft Cloud. Massive volumes of data are generated – not just from transactional systems of record, but also from the world around us. Our data integration products – Azure Data Factory and Power Query make it easy for customers to bring in, clean, shape, and join data, to extract intelligence. As an engineer in the Orchestration team, you will work on the core Azure Data Factory services. You will learn best practices in the job and help us build an even better service. As we continue to evolve the service, we are now working on Fabric Pipelines. This is a brand-new space and an opportunity to build an even better service.
Job Responsibility:
Implements reliable, scalable, and high-performance solutions across teams
Contributes to design documents
Owns implementation and rollback plans
Maintains quality checklist and related documentation with minimal guidance
Quantifies and ensures the health and compliance of a service according to Engineering and industry standards with minimal guidance
Collaborates within and across teams (e.g., within Service Engineering, across a service) by proactively and systematically sharing information with an appropriate level of detail for their audience
Proactively manages dependencies for their work with others
Develops and leverages information and knowledge base (e.g., customer, product, industry, troubleshooting guides) to contribute to conversations within their team with minimal supervision
Identifies security issues and recommends potential mitigation strategies to address underlying causes
Develops security guidance and models to address issues and to contribute to the definition of best practices
Suggests and drives appropriate guidance, models, response, and remediation for issues
Troubleshoots system issues and partners with engineering teams to conduct root cause analyses
Communicates and drives adherence to security policies and procedures
Contributes to service design by identifying and recommending optimal configurations of technology components with awareness of cost management, and service health, security, resiliency and reliability, while taking into account scalability of services
Demonstrates expertise in service and/or system design, interactions between technology layers and components, functions of infrastructure, and dependencies at scale
Adjusts configurations and defines infrastructures to improve the availability, reliability, efficiency, observability, and/or performance of supported products and services, with minimal guidance from other engineers
Actively participates in collaborative reviews with the engineering teams that develop and/or manage services and other stakeholders, and shares learnings and recommendations across engineering teams and other stakeholders working on related services within their organization
Contributes to designing a service/system in a manner that allow for robust and scalable measurement of quantifiable metrics for assessing health, quality, and functionality.
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
3+ years of cloud services using Azure, GCP or Google and data integration tools including Fabric, Azure Data Factory, Snowfake, Informatica, Databricks or similar
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.
Nice to have:
Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python