Job details
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data 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 Team
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.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Qualifications
Required
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
Work you'll do/Responsibilities
- Develop and maintain custom code for ordering applications supporting Assisted Ordering workflows within the In Stock platform
- Provide technical guidance to the team through design walkthroughs, implementation direction, and engineering best practices
- Apply architecture design patterns and core software design patterns to improve maintainability, scalability, and testability
- Perform and lead code inspections/reviews, ensuring adherence to standards, security, and quality expectations
- Design and evolve database schemas and data access patterns to support ordering use cases and performance needs
- Implement and enhance application observability (logs, metrics, alerts) to improve monitoring and reduce time-to-detect/resolve issues
- Troubleshoot complex functional and performance issues, driving root cause analysis and preventive remediation
The Team
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.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Qualifications
Required
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- 4+ years of proven date engineering experience
- Experience developing and supporting custom enterprise applications, ideally in ordering, inventory, or retail operations domains
- Strong knowledge of architecture design patterns and software design patterns with practical implementation experience
- Demonstrated experience with code inspection/review techniques (peer review, static analysis, quality gates)
- Solid database design skills (relational modeling, indexing, query optimization, transactional considerations)
- Hands-on experience with application observability (monitoring, logging, metrics, alerting; tracing a plus)
- Proven ability to provide technical guidance (mentoring, review leadership, and solution direction) within a delivery team
- Demonstrated technical leadership across teams and stakeholders
- 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
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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