Company:
Johnson and Johnson
Location: Raritan
Closing Date: 02/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Johnson & Johnson is currently recruiting for a Lead Cloud Data Engineer for our offices located in Raritan, New Jerse y to enable, empower, and support the Data & Analytics initiatives across Johnson & Johnson.
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at .
The Cloud Data Engineering Lead will take on key roles supporting the Enterprise Data Platform services used across all J&J affiliates. This individual will work alongside platform Subject Matter Experts (SME) to increase reliability of services, and support partners to ensure stability. Additionally, they will regularly engage with J&J business partners to assure alignment of services to their business goals. They will also partner with colleagues across other dependent Enterprise IT service offerings to ensure our platform service continuity. This role will work a Flex/Hybrid schedule; there is NO remote option for this role. Relocation assistance is available for qualified candidates.
Key Responsibilities & Duties:
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at .
The Cloud Data Engineering Lead will take on key roles supporting the Enterprise Data Platform services used across all J&J affiliates. This individual will work alongside platform Subject Matter Experts (SME) to increase reliability of services, and support partners to ensure stability. Additionally, they will regularly engage with J&J business partners to assure alignment of services to their business goals. They will also partner with colleagues across other dependent Enterprise IT service offerings to ensure our platform service continuity. This role will work a Flex/Hybrid schedule; there is NO remote option for this role. Relocation assistance is available for qualified candidates.
Key Responsibilities & Duties:
- Own end-to-end platform lifecycle activities including technical vision, strategy, prioritization, delivery and performance management
- Collaborate with Platform Owners and Product Owners to build a technical backlog that delivers business value while meeting the needs of supporting teams
- Work in close partnership with the Platform Architect and technology counterparts to manage cross-team dependencies in roadmaps and backlog, and to refine technical backlog by using product roadmaps and by anticipating functional and non-functional requirements while balancing business value and technical feasibility, cost and delivery timelines
- Drive the interaction model between the product groups using the platform and the platform teams building/maintaining the platform, using clear cadences, standards and best practices to ensure clarity and agreement of decision rights
- Ensure platform fits into the broader Enterprise Architecture guidelines and standards (e.g., APIs, security controls, approved technologies, data standards, etc.) and maintain leading expertise on tech capabilities relevant to the platform
- Drive selection of platform solution; work with the Lead Engineers to assess technical elements of the solution prior to user testing
- Develop tools and infrastructure to deploy, supervise and lead production services and products.
- Ensure delivered solutions are optimized for ease-of-use, reusability, and scalability.
- Stay up to date on relevant technologies pertinent to the role and understand trends and opportunities to ensure the customer continues to use the best possible techniques and tools to create software.
- Ensure implementations and development activities always engineer towards enriching knowledge base documentation, including gathering design details, usage, maintenance, configuration, and deployment notes.
- Understands, documents, and supports the underlying business processes, workflows, data, and application platforms that depend on cloud environments.
- Minimum B.S (Computer Science, or other related Engineering field equivalent) and 7years industry experience or M.S. and 5 years industry experience.
- Expertise in either AWS or Azure is required. Experience in the other is preferred.
- Experience in designing, implementing and supporting large scale enterprise cloud application platforms.
- Experience in secure solutions design for cloud environments in regulated environments.
- Working knowledge of network design and security in cloud environments.
- Strong programming background, with extensive experience in Python.
- Expert in AWS or Azure cloud platform services and management.
- Expertise in Data & Analytics capabilities on AWS or Azure.
- Experience in the design and management of customer-facing services.
- Experience in troubleshooting and debugging.
- Experience working with Git and source code managed cloud infrastructure development.
- Experience delivering production software within the constraints of Agile SDLC.
- Experience with Jenkins CI/CD pipelines
- Experience with Docker and Kubernetes.
- English - High level of communication skills (read, write, speak).
- Knowledge of other cloud platforms (Azure, AWS, GCP) is highly preferred.
- Cloud certifications highly preferred.
- Experience in at least one programming language such as: JavaScript/Groovy/Go/Rust/C , etc.
- Experience in designing resilient and fault-tolerant systems.
- Experience with monitoring and troubleshooting complex distributed systems.
- Experience with the Atlassian tool set (JIRA, Confluence, BitBucket).
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