Senior Associate, Solution Engineer

ROLE DETAILS

All over the world, Pfizer colleagues are working together to positively impact health for everyone, everywhere. Each position at Pfizer touches and contributes to the success of our business and our world. That’s why, as one of the global leaders in the biopharmaceutical industry, Pfizer is committed to seeking out inspired new talent who share our core values and mission of making the world a healthier place.

R&D within AIDA (AI, Data and Analytics), a Pfizer Digital organization, is responsible for the development and management of all data and analytics tools and platforms across the enterprise – from global research and development, to manufacturing, to commercial, to patient care across over 100+ countries. One of the team’s top priorities is the advancement of AI/ML enabled analytics and the creation of data solutions that can be leveraged across the enterprise.

R&D in AIDA holds responsibility for the development and operations of the aggregate data solutions (data lakes and associated application portfolios) supporting Pfizer’s scientific and clinical functions. 

The Senior Associate Solution Engineer will develop data solutions with a team of peer developers, digital client partners, architects, platform leads and contract support personnel for Global Clinical Supply (GCS).
 

ROLE RESPONSIBILITIES

• Design, develop, maintain and improve new and existing data solutions with a strong sense of accountability and attention to quality (mainly within a cloud hosted environment).

• Design, develop and maintain patterns used for various data engineering solutions. Identify, evaluate and recommend alternative design options when needed.

• Align development activity with recommended architectures, platforms and coding standards.  Ensures quality, security and privacy are built in.

• Partner with internal and external teams to implement data solutions. Collaborate closely with others in cross-functional teams.

• Perform code reviews and testing of code written, including designing and writing automated workflows to allow for continuous delivery.

• Ensure high data reliability, efficiency, and quality standards are maintained and continuously improve engineering practices and processes.

• Ensure documentation requirements are met based on both SDLC and ADLC processes.

• Exercise own judgment leveraging knowledge and experience, working independently with instruction on complex problems.

• Translate business requirements into engineering specifications.
   

QUALIFICATIONS

• BS/MS in Computer Science, Engineering, or related field.

• 3+ years of experience in a hands-on data engineering role.

• Fundamental knowledge in programming using Python and PySpark. 

• Demonstrated knowledge of Structured Query Language (SQL).

• Back-end experience with databases such as Oracle, RedShift, and Snowflake.  

• Knowledge of Big Data technologies.

• Experience in designing, developing and implementing advanced data engineering solutions.

• Self-starter with the ability to independently prioritize and complete multiple tasks with little to no supervision.

• Flexible to changing priorities and comfortable in a fast-passed dynamic environment.

• Strong attention to detail with high standards of quality and customer value.

• Self-motivated and proactive with the ability to take ownership of issues.

• Excellent oral and written communication skills.

• Familiarity on ETl workflows, data storage, index strategies, ingesting/indexing processes, transforming/normalizing data and data enrichment upon ingest.
   

PREFERRED QUALIFICATIONS

• Experience working with cloud solutions and services, preferably AWS.

• Experience with developing identity management solutions desirable.

• Experience in developing solutions aimed at medical professionals desirable.

• Experience in the Pharma industry desirable.

• Experience in modern software development practices including distributed versioning systems, continuous integration/deployment, automated testing (DevOps).

• Working knowledge of Jira, GitHub, and Docker.

• Experience with Agile methodology for developing and delivering solutions.

Purpose 

Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.  

Digital Transformation Strategy

One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

Flexibility  

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!  

Equal Employment Opportunity 

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

Disability Inclusion

Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!