Senior Data Engineer
Date de publication :
25 octobre 2024Taux d'activité :
100%Type de contrat :
Durée indéterminée- Lieu de travail :Raritan
Johnson & Johnson is recruiting for a Senior Data Engineer, Data Solutions, Technology Services. The role is primarily based out of our Raritan, NJ office, but we are open to candidates located in other US cities.
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions 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 https://www.jnj.com/.
The Senior Data Engineer is responsible for the technical design and implementation of Data and Analytics solutions across multiple business areas within Johnson & Johnson. You will work closely with Business Technology partners and various Technology Services departments to drive innovative data products for end users, such as Data Scientists, Data Analysts and Business Stakeholders. Additionally, you will develop overall solution architecture, technical delivery, and ensure standard methodologies are followed to optimize shared business outcomes.
Responsibilities
- Collaborate with Business Technology partners to understand existing solutions/products, business needs and priorities.
- Shape solution design in alignment with overall business strategy and Technology Service’s roadmap.
- Design, develop and deliver scalable data pipelines that process large datasets for business intelligence, data science and more.
- Optimize data solutions and infrastructure for improved performance, reliability, and cost savings.
- Understand and articulate the benefits of reusable patterns and products developed by the team to potential adopters.
- Stay updated with industry trends and advancements in data engineering and analytics to provide recommendations to team members and partners