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Data Warehouse Engineer
Jawbone is looking for a Data Warehouse Engineer to play an integral role in achieving Jawbone"s Hardware + Software + Big Data vision.  This person loves building systems to transform all kinds of data from numerous different sources into coherent systems for reporting, alerting, and business-decision making purposes.  You "get" data:  the power that can come from having accurate reporting and fast predictions and alerts to changes and anomalies in the business.
  
Responsibilities:

Build ETL data pipelines from source systems into our growing Enterprise Data Warehouse.  To that end, you must work closely with stakeholders on the data demand side (analysts and data scientists) and the data supply side (domain experts on source systems of the data).

Build self-monitoring, robust, scalable interfaces and data pipelines for 24/7 operations.

Design and build optimized OLAP and Star Schema data structures.

Design and build fast Metric and Aggregation algorithms.

Create highly reusable code modules and packages that can be leveraged across the data pipeline.

Document your work so it"s easy for others to maintain.


Requirements:

Excellent Python and deep understanding of OO coding techniques

ETL Programming

Expert SQL

Excellent technical communication skills

Work well in a growing company and an evolving set of Data Sources

Experience with REST APIs - NetSuite, Salesforce a plus

Data Modeling - OLAP and OLTP

Test Driven Development, Unit Testing

Unix Shell scripting

Git or other Source Code Control systems

B.A., B.S. in Computer Science, Analytics, Data Science or equivalent degree


Pluses:

Experience with Redshift and Postgres

Experience with AWS and/or other Cloud-Hosting Systems

Tableau and/or other BI and Visualization Tools

Location

San Francisco, CA, United States
San Francisco, CA, United States
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