Full Stack Developer - Cloud Engineer

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer - Project Delivery Senior Analyst 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.

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.

Work You'll Do/Responsibilities

• Design and implement scalable, resilient ETL/ELT pipelines using Python and Apache Airflow
• Integrate and automate load, stress, and real-user scenario testing into the development and production lifecycle.
• Analyze, monitor, and address performance, reliability, and scalability challenges in complex systems.
• Collaborate with engineers working on custom hardware, embedded systems, and cloud infrastructure.
• Apply advanced profiling, benchmarking, and system optimization techniques.
• Contribute to solution architecture, API design, security, and system integration.
• 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
  
  

Qualifications

Required

• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
• 3 years of experience in software, systems, or embedded engineering.
• 3 years of experience working Apache Airflow and Python.
• Experience with MLflow, SageMaker, or Kubeflow.
• Strong SQL experience.
• Experience with analytical data warehouses.
• Experience working within Agile/Scrum development teams, participating in sprint planning, code reviews, and collaborative solutioning.
• 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

• Proven ability to communicate complex technical concepts clearly and effectively.
• 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