Data Engineer

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

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 Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture. 

At the Fabric Telemetry Data Platform team, we are building a next-generation data platform to revolutionize how data engineers and partner teams work. Our platform is designed to be highly scalable, resilient, and automated, supporting high-performance querying and self-service capabilities for partner teams. Our goal is to enhance the productivity of data engineers, streamline metric development, and enable robust data monitoring.

As a Data Engineer on our team, you will play a key role in shaping the future of our next-generation data platform. Using the latest Azure technologies, you will design and build scalable data pipelines, develop tools for metadata management, and create job monitoring and notification services. You will also optimize data processing and storage, implement automated anomaly detection, and streamline daily operations through automation.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Responsibilities

• You will design, develop, and maintain data pipelines, including solutions for data collection, cleansing, transformation, and usage, ensuring accurate data ingestion and readiness for downstream analysis, visualization, and AI model training.
• You will build frameworks to validate data quality and completeness, detect anomalies, enhance data pipeline resiliency, and support unit and integration testing.
• You will design and implement end-to-end software life cycles, encompassing design, development, CI/CD, service reliability, recoverability, and participation in agile development practices, including on-call rotation.
• You will write code to implement performance monitoring protocols across data pipelines, building visualizations and aggregations to monitor pipeline health. You’ll also implement solutions and self-healing processes that minimize points of failure across multiple product features.
• You will anticipate data governance needs, designing data modeling and handling procedures to ensure compliance with all applicable laws and policies.
• You will implement and enforce security and access control measures to protect sensitive resources and data.
• You will Perform database administration tasks, including maintenance, and performance monitoring.
  
  

Embody our culture and values

Qualifications

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, software development, data modeling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, or data engineering work OR equivalent experience.

• 2+ years of experience in software or data engineering, with proven proficiency in C#, Java, or equivalent.
• 2+ years in one scripting language for data retrieval and manipulation (e.g., SQL or KQL).
• 2+ years of experience in big data scripting languages like Python, SCOPE, SQL or equivalent.
• 2+ years of experience with ETL and data cloud computing technologies, including Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Logic Apps, Azure Functions, Azure Data Explorer, and Power BI or equivalent platforms.
  
  

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.
  
  

Preferred/Additional Qualifications

• 1+ years of demonstrated experience implementing data governance practices, including data access, security and privacy controls and monitoring to comply with regulatory standards.
• Experience with big data technologies such as: Hadoop, Hive, Spark.
• Experience with distributed database engines like Microsoft Synapse.
  
  

Equal Opportunity Employer (EOP)

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Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.