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Reference # : 19-241815 Title : Data Engineer
Location : San Francisco, CA
Position Type : Contract
Experience Level : Start Date / End Date : 08/26/2019 / 12/31/2019  
Description
Title: Data Engineer
End Date: 12/31/2019 w/ possibility of extension and conversion 
Position Type: Contract
Location: San Francisco, CA, United States


Department: Product Analytics & Data Science Job Category: Engineering / Infrastructure 

Duties: The Business Intelligence (BI) team is looking to hire a Data Engineer to build robust, extensible, and scalable data and BI solutions for Pinterest's product org. These solutions could be a combination of one or more of the following: source-of-truth datasets, daily/hourly pipelines, dashboards, visualization tools, and alerting.


This role will entail the following responsibilities:
Understand the data landscape of company products Design, architect, and implement new source of truth datasets, in partnership with analytics and business teams Build the required data and reporting pipelines using company's internal ETL tools Develop dashboards, web-based visualizations (using Tableau, D3, or Plotly), and web-based tools (node.js or flask apps) Collaborate with other engineering teams to develop and integrate BI solutions
 
Skills:
Experience designing, architecting, and maintaining data warehouses that seamlessly stitches together data from production databases and clickstream event data Hands-on experience with Hive query development and optimization, and, building workflows (preferably using Airflow) Hands-on experience with building data pipelines in a programming language like Python Hands-on experience with building and maintaining Tableau dashboards and/or Jupyter reports Working understanding of Hadoop and Big data analytics Ability to understand the needs of and collaborate with stakeholders from analytics and business teams

Education:
Bachelors or Masters degree in Computer Science, Engineering, Management Information Systems, or a related quantitative/analytics discipline and at least three (3) years of experience in the field of data engineering or business intelligence/analytics Skills and Experience:

Required Skills:
PYTHON
HIVE
ETL
BIG DATA ANALYTICS
DATA WAREHOUSE DESIGN/ARCHITECTURE
Tableau dashboards and/or Jupyter reports 
ENGINEER
DATA VISUALIZATION
AWS
Tableau, D3, or Plotly
node.js or flask apps

Preferred:
Airflow

Minimum Degree Required: Bachelor's Degree