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Groupon: Data Analytics Engineer

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Data modeling and design, development, implementation, and ongoing maintenance of data driven products built within the Data Science team.



Groupon Company: Groupon
Location: Palo Alto, CA
Web: www.groupon.com


Are you passionate about solving interesting and challenging big data problems? Do you have experience and interest in dealing with vast amounts of data? If yes, you could be a great fit for this role in Data Science team at Groupon. This is a great opportunity for a technically strong data engineer to work with data scientists on exciting business problems and build and support data solutions to enable data-driven-decision-making in true sense.

The Data Analytics Engineer will report to the Manager, Data Science and will be responsible for the data modeling and design, development, implementation, and ongoing maintenance of various data driven products built within the Data Science team. The position will also be responsible for leading the development of a data framework that will be used as the foundation for analytics and modeling.

Responsibilities
  • Design, develop, implement, and ongoing maintenance of data driven products.
  • Implement logging and monitoring to ensure data availability and perform data integrity checks.
  • Build system health dashboards to monitor raw data ingestion and creation of data elements
  • Partner with clients to integrate the data products into Groupon's production systems.
  • Responsible for user communication in case of process failures and relevant triggers

 
Requirements
  • B.S/M.S degree in Computer Science or a degree in related quantitative discipline and equivalent experience.
  • 3+ years of data engineering experience in building data products or enterprise data warehouse systems (including data modeling and ETL architectures).
  • Strong programming coding skills in C/Java/Python/Perl.
  • Strong relational database experience and very strong SQL skills.
  • Solid understanding of Hadoop internals and experience with MapReduce, Hive and the Hadoop ecosystem
  • Expertise in job scheduling (custom and open source), metadata management and monitoring systems.
  • Experience in business intelligence and reporting is a plus.
  • Excellent written and verbal communication skills

 
_Contact_:
Apply online for Data Analytics Engineer, Req 6312.

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