Data Engineer

At Azure CXP, our mission is to transform Azure customers into Azure fans. We are committed to customer success & growth through world-class customer engineering engagement and continuous product improvements. The focus for our team is to build extensible platform, connected customer experiences (CX), enable digital transformation, and improve customer outcomes. Our top-level objectives include winning customer satisfaction by providing the help they need and reducing customer pain time. Our team believes in living the core Microsoft values of Respect, Integrity and Accountability. We are fast a growing, and dynamic team with a lot of opportunities for career growth.

• A BA/BS degree in Computer Science or related discipline.
• 2+ years of experience SQL or any querying language, data analytics, Data Engineering technologies, ETL

PREFERRED QUALIFICATION

• Real passion for understanding key business problems and opportunities, and for setting and driving towards measurable goals
• Enthusiastic, self-motivated, and a great teammate.
• Excellent collaboration and organizational skills with demonstrated ability to develop key partnerships
• Great analytical skills, and high intellectual horsepower
• Experience with large data systems, such as SQL/T-SQL, Hadoop, Presto, Kafka or Spark Engine (Azure Synapse/Databricks/HDInsight or other distributions)
• Experience working with Azure Storage, Data Lake, Cosmos DB or Data Warehouses
• Power BI and Data Modeling 
• Experience working on DevOps (Version Control, CI/CD)  
• Experience with Azure, AWS or GCP 

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. 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.

As a Data Engineer on the team, you will help develop a world-class, customer-centered engineering infrastructure. You will work with Azure CXP Program Managers and Data Scientists as well as other Azure engineering teams and the Field, Marketing and Support organizations to define and deliver critical, customer-facing features and the tools, infrastructure and end-to-end solutions required for all the rapidly expanding programs in Azure CXP. The ideal candidate will have some experience working with modern big data platforms such as data ingestion, validation, transformation/ETL, governance or analysis.

You will work with Azure Data Catalog/Purview, Azure Data Factory, Azure Synapse, Azure Data Explorer, Azure Data Lake Store Gen 2, CosmosDB and other technologies. You will also get firsthand experience working with Data Science and other Azure engineering teams. You will have the opportunity to contribute to the strategy, design, and build out of this system. Great scope and great opportunity for impact and growth.

This role will have a measurable impact on customer growth and satisfaction for one of the fastest growing businesses at Microsoft.  We are looking for a data engineer, who has deep data analytics skills, who thinks strategically, works pragmatically in a dynamic environment with few guardrails, and enjoys getting stuff done.  In this role, you will need strong customer empathy and an ability to focus our engineering efforts on Azure’s business priorities.  As we drive to increase Azure customer adoption, satisfaction and consumption, you will need to carefully balance agility and the need to meet our partner teams’ immediate needs with building scalable, robust and reusable solutions.