Data Engineer
Description For Data Engineer
Microsoft's Azure Data engineering team is at the forefront of analytics transformation, developing products like Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, and more. The Fabric Data Analytics, Insights, and Curation team is specifically focused on understanding Microsoft Fabric composite services and empowering strategic business leaders.
As a Data Engineer, you'll be part of a team that handles large-scale data transformation and insights generation. You'll work on building and managing pipelines, transformations, platforms, and models that power the Fabric product. The role offers opportunities in Analytics, Science, Software Engineering, DevOps, and Cloud Systems.
The position requires expertise in data engineering with Azure technologies, including Azure Data Lake, Data Factory, Synapse, Logic Apps, Functions, Data Explorer, and Power BI. You'll collaborate with Engineers, Scientists, Product teams, and Architects to build next-generation data democratization products.
Microsoft offers a culture focused on customer centricity, innovation, and agility. The company values diversity and different perspectives, actively seeking them out to enhance collective power. The role provides opportunities to work with cutting-edge technologies while contributing to Microsoft's mission of building the data platform for the AI age.
Benefits include industry-leading healthcare, educational resources, savings and investments opportunities, parental leave, generous time off, and networking opportunities. The position offers hybrid work arrangements with up to 50% work from home and minimal travel requirements (0-25%).
Responsibilities For Data Engineer
- Develop and maintain data pipelines for data collection, management, and transformation
- Design and implement end-to-end software life cycles, including CI/CD and service reliability
- Implement performance monitoring protocols across data pipelines
- Design data modeling and handling procedures for governance compliance
- Implement security and access control measures
- Perform database administration tasks
- Collaborate with Product Managers, Data Scientists, and other stakeholders
Requirements For Data Engineer
- Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years' experience
- 2+ years of experience in software or data engineering with proficiency in C#, Java, or equivalent
- 2+ years in SQL or KQL for data retrieval and manipulation
- 2+ years of experience with ETL and cloud computing technologies
- Must pass Microsoft Cloud background check
Benefits For Data Engineer
- Industry leading healthcare
- Educational resources
- Discounts on products and services
- Savings and investments
- Maternity and paternity leave
- Generous time away
- Giving programs
- Networking opportunities
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