Lead Data Engineer

Johnson & Johnson is recruiting for a Lead Data Engineer, Data Solutions, Technology Services.

The role is based out of Raritan, NJ with flexibility required to work with various stakeholders across multiple sites in NJ.

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 https://www.jnj.com/ .

The Lead 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 shape overall solution architecture, lead 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.


* Act as a consultant to other teams, challenge the status quo, market the team's products, and provide technical leadership in the Data Solutions space.


* 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 stakeholders

Education


* A minimum of a bachelor's degree is required; focus in Computer Science, Information Technology or other technical related field is a plus.

Qualifications


* A minimum of 5 years of professional experience is required


* Inquisitive - Curious about learning new technologies and approaches


* Driven - Strong problem-solving skills, with the ability to analyze complex data and develop innovative solutions


* Good communication and interpersonal skills, collaborating with clients and team members.


* Hands On - Technical experience building data pipelines and managing Cloud environments

Required Skills


* Data Engineering (Python, PySpark, SQL, etc.)


* Data Platforms (Databricks, Microsoft Fabric, Snowflake, etc.)


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