Hybrid Senior Associate, Data Engineer – AI and Automation

Posted last month

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About the role

  • 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

Senior Associate, Data Engineer – AI and Automation

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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