Data Engineer

4 weeks ago

Tampa, Florida, United States Evenbreak Full time
ROLE SUMMARY:

Pfizer is seeking highly skilled and passionate individuals to join our Analytics Engineering team to build data foundations and tools that drive business performance and patient experience.

You will design and implement scalable, extensible, and highly available data pipelines on large volume data sets to enable impactful insights and strategy for our products.

Our culture is about getting things done iteratively and rapidly, with open feedback and debate along the way; we believe analytics is a team sport, but we strive for independent decision-making and taking sensible risks.

We collaborate deeply with partners across analytics, data science, marketing, digital, and business teams to drive innovation and provide best-in-class systems, data products, and tools to make decisions that drive business performance and patient experience.

The ideal candidate is a self-motivated teammate, skilled in a broad set of data processing techniques with the ability to adapt and learn quickly, provide results with limited direction, and choose the best possible data processing solution.

ROLE RESPONSIBILITIES:

Reporting to the head of Analytics Engineering, you will collaborate with data scientists, reporting/data visualization specialists, business, and marketing teams to identify requirements that will derive the creation of data pipelines and other data products.

You will work closely with Pfizer's Digital team to understand the architecture and internal APIs involved in upcoming and ongoing projects.

We are seeking an outstanding person to play a pivotal role in helping analysts and business users make decisions using data and visualizations.

You will partner with key partners across the business, data science, and marketing teams as you design and build query-friendly data structures.

  • 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 already 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.

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