At Pfizer, our purpose—Breakthroughs that change patients’ lives—drives every decision we make and digital technology accelerates this mission by turning data into insights
Job Summary
At Pfizer, our purpose—Breakthroughs that change patients’ lives—drives every decision we make and digital technology accelerates this mission by turning data into insights.
As a hands-on Sr. Associate - Data & Analytics Engineer, you will build innovative data and analytics solutions that strengthen our enterprise data foundation and empower enabling function partners.
The role involves building scalable data pipelines, ensuring data quality and integrity, collaborating with cross-functional teams, and supporting business decision-making through analytics solutions.
Matching Summary
At Pfizer, our purpose—Breakthroughs that change patients’ lives—drives every decision we make and digital technology accelerates this mission by turning data into insights.
Skills & Requirements
Must-have
Data architecture and infrastructure design
Advanced SQL and data warehousing
Modern ETL and data engineering pipelines
Cloud platforms management (AWS, Azure, Google Cloud)
Data quality and governance implementation
Cross-functional collaboration
Data privacy and compliance adherence
Nice-to-have
People Analytics using SaaS tools
Experience with Global HR data integration
Knowledge of GDPR and data privacy principles
Software engineering best practices
Agile methodology and SCRUM/SAFe experience
Machine learning and NLP techniques
Human Resources domain expertise
Key Requirements
BA/BS or MBA/MS/M. Tech degree
3-5 years experience or PhD with any experience
6+ years with general-purpose data processing languages
Experience with Snowflake and modern data warehouses
Familiarity with cloud computing and big data technologies
Intermediate to advanced proficiency in programming languages
Knowledge of data privacy regulations and compliance