Sr. Associate – Data And Analytics Engineer

Pfizer Com Sg

Hybrid
Data architecture and infrastructure design
Advanced sql querying and database management
Modern etl and data engineering pipelines
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 our enabling function partners.
  • The role involves designing scalable data pipelines, ensuring data quality and compliance, collaborating with cross-functional teams, and developing analytics solutions to support business decisions.

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 querying and database management
  • Modern ETL and data engineering pipelines
  • Cloud platform data infrastructure management
  • Data quality and integrity assurance
  • Cross-functional team collaboration
  • Data governance framework development

Nice-to-have

  • People Analytics using SaaS tools
  • Experience with Global HR data integration
  • Familiarity with GDPR and data privacy principles
  • Software engineering best practices
  • Agile methodology and SCRUM/SAFe experience
  • Machine learning and NLP applications
  • Human Resources domain experience

Key Requirements

  • 3-5 years experience with BA/BS or advanced degree
  • PhD holders with any years of experience
  • 6+ years with general-purpose data processing languages
  • Experience with Snowflake and big data technologies
  • Experience in cloud computing platforms (AWS, Azure, Google Cloud)
  • Advanced skills in data modeling and visualization tools
  • Knowledge of data privacy regulations and compliance

Work Rights

Not specified

Tailored Resume

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