Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Azure Support Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.
Work you'll do/Responsibilities
The Azure Technical Support Engineer is responsible for providing technical support and escalation assistance on Microsoft Azure services and other supported vendors to our partners through various communication channels
Azure Data Factory - how to browse the data pipeline, export data pipeline, write data pipeline in ADF
DataBricks - ability to write SQL in Azure DataBricks
Azure Data warehouse and Azure Synapse - ability to go in and write SQL, understand stored procedures, etc.
Experience with SQL for querying and manipulating data
Respond promptly and professionally to phone calls, web submissions, and emails from partners seeking technical support and provide basic technical assistance
Educate partners on supported technologies, research and diagnose issues, and propose solutions that enable partners to resolve their issues or become more self-sufficient
Manages assigned cases by prioritizing based on the severity of issues to adhere to service level objectives
Informs partners of progress and ensures that issues are resolved in a timely and effective manner. Proven expertise in administrating and deploying Microsoft Azure Cloud Solutions
Live near or willing to relocate to Arlington VA. Relocation assistance is available.
This position is part of our 24/7 operations team. Flexibility to work varied hours, including weekends requirements and doing analysis on the current system and provide best possible solutions.
Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
The Team
As a part of the US Strategy & Analytics Offering Portfolio, the AI & Data offering provides managed AI, Intelligent Automation, and Data DevOps services across the advise-implement-operate spectrum.
Qualifications
Required
3 years of hands-on technical support experience with Azure DataBricks, Azure Data Factory, and Azure Synapse
Proficient in SQL
Experience with Data Lake environments
A strong understanding of data warehousing, data modeling, and data transformation principles
Flexibility to work varied hours, including weekends requirements
Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
Limited immigration sponsorship may be available
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Live near or willing to relocate to Arlington VA. Relocation assistance is available.
Preferred
Azure certification
Experience with ETL/ELT processes
Familiarity with cloud-based data platforms, such as AWS or GCP
Excellent problem-solving and analytical skills
The ability to work independently and as part of a team
Strong communication skills
Analytical/ Decision Making Responsibilities
Analytical ability to manage multiple projects and prioritize tasks into manageable work products
Can operate independently or with minimum supervision
Excellent Written and Communication Skills
Ability to deliver technical demonstrations
Information for applicants with a need for accommodation: