Data Engineer designing and optimizing data pipelines using Databricks and Google Cloud Platform. Collaborating with analysts and scientists to deliver high - quality data products.
About the role
- AI Engineer responsible for developing and optimizing AI models for data analytics and supply chain at Pfizer. Collaborating with teams to drive innovation and improve patient outcomes.
Responsibilities
- Responsible for data modeling and engineering within the advanced data platforms teams to achieve digital outcomes.
- Create test plans, test scripts, and perform data validation.
- Conceive, design, and implement Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs.
- Develop complex data products that are beneficial for PGS and Allow for reusability across enterprise.
- Ability to collaborate with contractors to deliver technical enhancements.
- Develop automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment.
- Develop internal APIs and data solutions to enhance application functionality and facilitate connectivity.
- Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency.
- Conduct root cause analysis and address production data issues.
- Design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives.
- Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer's projects.
- Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives.
- Document and present findings, methodologies, and project outcomes to various stakeholders.
- Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery.
- Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection.
Requirements
- A bachelor's or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline.
- 3+ years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations.
- Over 1 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.
- Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred.
- Strong understanding of data structures, algorithms, and software design principles.
- Experience in Python, SQL, and familiarity with Java or Scala.
- Familiarity with Hadoop, Spark, and Kafka for big data processing.
Benefits
- Health insurance
- Flexible working hours
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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