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Data Engineer

2 months ago

Tampa, Florida, United States Evenbreak Full time
ROLE SUMMARY

Pfizer is seeking a highly skilled and motivated individual to join our Analytics Engineering team. As a key member of our team, you will be responsible for designing and implementing scalable, extensible, and highly available data pipelines on large volume data sets. Your expertise will enable impactful insights and strategy for our products, driving business performance and patient experience.

KEY RESPONSIBILITIES
  • Collaborate with data scientists, reporting/data visualization specialists, and business teams to identify requirements for data pipeline creation and other data products.
  • Work closely with Pfizer's Digital team to understand architecture and internal APIs involved in upcoming and ongoing projects.
  • Translate business requirements into data and engineering specifications.
  • Build scalable data sets based on specifications from available raw data and derive business metrics/insights.
  • Understand and identify server APIs that need to be instrumented for data analytics and align events for execution in established data pipelines.
  • Explore and understand sophisticated data sets, identify and formulate correlational rules between heterogeneous sources for effective analytics and reporting.
  • Process, clean, and validate the integrity of data used for analysis.
  • Develop Python and Shell Scripts for data ingestion and stitching from external data sources for business insights.
  • Partner with data scientists to build scalable modeling features pipeline.
  • Work closely with analytics and data science teams to develop robust data pipeline and analytics visualization.
QUALIFICATIONS
  • Bachelor's degree with 7+ years of experience OR Masters Degree with 6+ years of experience OR PhD with 2+ years of experience.
  • Relevant professional experience with Big Data systems, pipelines, and data processing.
  • Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field.
  • Practical hands-on experience with technologies like Apache Hadoop, Apache Pig, Apache Hive, Apache Sqoop, and Apache Spark.
  • Experience working in Dataiku is a plus but not required.