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Job Description
Azure Data Engineer
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Azure Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Work you'll do/Responsibilities
As a Project Delivery Specialist(PDS) at Deloitte, you will work within an engagement team and be responsible for supporting the overall project goals and objectives. In this role, you will interact with stakeholders and cross-functional teams. It is expected that you will be able to perform independent tasks as well as provide technical guidance to team members, as needed.
The Team
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Qualifications
Required
6+ years hands-on experience designing and implementing data solutions on Azure
Proven proficiency with Azure Data Factory (ADF) for building and orchestrating ETL/ELT pipelines
Deep knowledge of Azure Data Lake Storage (ADLS Gen2) architecture, including data organization, security, and optimization
Experience with Azure Synapse Analytics, Databricks, or Azure SQL Database for data warehousing and analytics
Strong programming skills in Python and/or Scala for data transformation and pipeline development
Advanced SQL capabilities for complex data manipulation and optimization
Proficiency in version control (Git) and CI/CD practices for data pipelines
Understanding of data modeling concepts (dimensional modeling, data vault, etc.)
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
Preferred
Azure certifications (e.g., Azure Data Engineer Associate)
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
Additional Requirements
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
