• Software Engineer, Computer Science, Data Analyst Switzerland
  • Microsoft in Switzerland, , Switzerland
  • jobs
  • 2 weeks ago

jobs description

Position: ​​Software Engineer​
Location: Schweizertor
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 Postgre

SQL, 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.​ ​​We’re the team that developed the Mashup Engine (M), Power Query, M Connectors and the Data Gateway. We already ship monthly to millions of users across Excel, Power BI, Microsoft Fabric, Flow, and Power Apps; but in many ways we’re just getting started.

We’re building new services, experiences, and engine capabilities that will broaden the reach of our technologies to several new areas – automated dataflows, data “intelligence”, and large-scale data analytics. We plan to use example-based interaction and innovative visualization to make data access and transformation even more intuitive for non-technical users. If the “democratization of data” sounds like a compelling mission, this is the team for you.

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. Required/Minimum Qualifications
· Bachelor's Degree in Computer Science, or related field or equivalent experience.

Additional or

Preferred Qualifications
· Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, data modeling or data engineering worko OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field o OR equivalent experience.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.#azdat #azuredata ​​#power query #microsoftfabric​ Data

Requirements and Modeling
· Learns to collaborate with appropriate stakeholders and interprets data requirements. Assists senior leaders with the assessment of project costs, access, usage, use cases, and availability for business or customer scenarios related to a product feature. Learns about the feasibility of data needs and supports team members by finding alternative options if requirements cannot be met. Utilizes relevant data metrics or measures to assess data across varied service lines.
· Supports the appropriate data model for the project and reviews design specification documents to model the flow and storage of data with guidance from senior colleagues. Works closely with team members to identify basic improvements to design specifications, data models, or data schemas, leveraging feedback from the Program Manager, so that data is easy to connect, ingest, has a clear lineage, and is responsive to work with.

Demonstrates knowledge of analytical requirements and compute/storage consumption for data and documents the cadence of data extraction, transformation, and loading into simple, data products or datasets in cloud and local environments. Demonstrates awareness of costs associated with data that are used to assess the total cost of ownership (TOC).Data Management and Transformation
· With detailed instructions, implements basic code to extract raw data…


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