Technical Support - Fabric Data Engineering

Share job

With over 17,000 employees worldwide, the mission of the Customer Experience & Success (CE&S) organization is to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. Come join CE&S and help us build a future where customers achieve their business outcomes faster with technology that does more.

You will be part of a team responsible for providing outstanding technical support experience to our business customers. From problem identification to full resolution, you will own and manage the customer experience.

When needed, you will collaborate with others to engage subject matter experts, engineering (product groups) or management. Your day-to-day job will be about providing both technical expertise (either on your own or by involving your colleagues) and about being an excellent communicator and a service-oriented professional. You will be given the opportunity to become a subject matter expert in one or more areas and receive guidance and mentorship from your colleagues.

As a Technical Support Engineer in the Azure Databricks and Microsoft Analytics Services team, you will deliver world-class support for our global customers on their digital transformation journey. You will deliver unique value by collaboratively and reactively solving customer problems, providing proactive support advice, contributing to product quality and enhancements, and creating self-help assets to broadly reach more customers.

This role is flexible in that you can work up to 100% from home.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications:
• Demonstrated the ability to conduct thorough troubleshooting and debugging, and to solve complex problems including Linux troubleshooting.

• Thriving in a fast-paced environment. You are very resourceful and great at prioritizing multiple demands, knowing when and how to prioritize tasks.
• Communication and senior stakeholder engagement skills, underpinned by an ability to communicate technical concepts to non-technical, senior business users with ease.
• Solid experience and advanced knowledge in one or more Big Data or Analytics Products and Services:
o Spark, Databricks
o Cloud Streaming technologies
o Open Source Ecosystem (Linux, Apache, etc.)

• Proficiency in coding languages such as Java, Python, Scala or R

• Knowledge in Microsoft Fabric - Data Engineering & Data Science, Synapse Analytics, Azure HDInsight.
• Knowledge in either: HDFS, Azure Data Lake, Delta Lake.

• Any experience with Azure is preferred

Language Qualification:

English Language: confident in reading, writing and speaking.

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.

• Response and Resolution: You own, investigate, and solve complex customer technical issues and act as an advisor to the customer, collaborating within and across teams and leveraging troubleshooting tools and practices.
• Readiness: You lead in building communities with peer delivery roles and share your knowledge through readiness programs, technical coaching and mentoring of others.
• You deepen your technical and professional proficiency to enable you to resolve complex customer issues, through training and readiness.
• Product/Process Improvement: You engage with Microsoft Engineering/ Supportability teams to investigate potential product defects and help develop automation techniques and diagnostic tools driving Microsoft product improvements.