Technical Support Engineering - Data Integration

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.

 

The primary purpose of this team is to provide exceptional support to premier level customers utilizing Azure Data Factory technologies. The team will focus on delivering high-quality assistance, ensuring that customers receive the best possible experience with Azure Data Factory. By leveraging their deep technical knowledge and customer-centric approach, the team will help premier customers overcome challenges, optimize their data integration workflows, and achieve their strategic goals.

This role is flexible in that you can work up to 50% 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.

 

Responsibilities

Response and Resolution:

•  Reviews complex issues (e.g., multiple components of a product) and contacts customers to understand issue. Ensures customers stay informed as to the status/solution of their issue. Utilizes troubleshooting tools (e.g., event logs, performance traces) to help resolve customer issues.

•  Resolves customer issues through problem solving, collaboration, and research. May take escalated issues as needed. Documents technical work and research.

•  Performs in-depth product troubleshooting and remediation when needed.

•  Collaborates on cross-team and cross-product technical issues by working with resources from other groups as needed to resolve moderately complex customer issues.

 

Readiness:

•  Assists in the implementation of end-to-end readiness programs (e.g., mentoring, knowledge sharing or technical document creation, brown bag sessions, blogs, quality assurance checks). Develops readiness content. Mentors new Technical Support Engineers. Develops intermediate level competence on support topics.

 

Product/Process Improvement:

•  Provides feedback to more senior engineers or serviceability team on functionality of products based on engagements with customers. Provides feedback to the product group for product improvement.

•  Identifies potential defects and escalates to more senior engineers to resolve.

•  Applies broad knowledge of automated tools being used across other technologies and products. Provides feedback for tool improvement.

•  Identifies and provides feedback to address process gaps in an effort to streamline processes and shares best practices broadly.

•  Participates in case triage meetings and/or case discussions to share knowledge with other engineers and contribute to more rapid customer solutions. Utilizes learnings from triage meetings to identify and communicate readiness needs to manager or readiness team.

 

Other: 

• • Embody our culture and values 

 

Qualifications

Required Qualifications: • 3+ years technical support, technical consulting experience, or information technology experience

o OR Bachelor's Degree in Computer Science, Information Technology (IT), or related field AND 1+ year(s) technical support, technical consulting experience, or information technology experience.

• Experience with one or more Big Data or Analytics Products and Services (Azure Data Factory, Synapse Pipelines and Dataflow, Fabric Data Factory.• Proficient in Extract, Transform, Load (ETL) process including data movement and data transformation experience• English Language: ability to reading, write and speak fluent English.

 

Other:

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 qualifications:• Additional experience using analytical tools such as SQL, Power BI, Hadoop, Spark, Hive, Azure HDInsight, Azure Databricks, Azure Cosmos DB, NoSQL Services, MongoDB, Data Lake.• Exposure to Cloud Streaming technologies • Proficient in Open Source Ecosystem (Linux, Apache, etc.)• Experience with one or more customer support, product support, technical support, IT Admin support, Consulting, systems development, product development, network operations, software engineering, or I.T. consulting, customer or technical support or consulting or end-user support• Programming, automation, & debugging with dynamics tools (CRM/VDM/FTS/DfM) • Competent interpersonal and communication, open to feedback, and work under pressure 

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.

 

#CES #CSS #DTP #DataAI