Data Engineer

2 weeks ago

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

Pfizer is seeking highly skilled and motivated individuals to join our Analytics Engineering team to build data foundations and tools to drive business growth.

You will design and implement scalable, extensible, and highly available data pipelines on large volume data sets, enabling 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.

Our team collaborates deeply with partners across analytics, data science, marketing, digital, and business teams to drive innovation by providing the business, marketing, and data scientist partners with best-in-class systems, data products, and tools to make decisions that drive business performance and patient experience.

This will include using large and complex data sources, helping derive measurable insights, delivering dynamic and intuitive decision tools, and bringing our data to life via amazing visualizations.

We are seeking a self-motivated teammate with a broad set of data processing techniques, 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, this person 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 the 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.

Build scalable data sets based on specifications from the 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.

Work closely with analytics and data science teams to develop robust data pipeline and analytics visualization.

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