You are here:  Home  >  Uncategorized  >  Current Article

Semantic Web Jobs: Google

By   /  October 8, 2013  /  No Comments

Google is looking for a Business Systems Analyst, Data Services in New York, NY.


Google is looking for a Business Systems Analyst, Data Services in New York, NY. According to the post, “At Google, we work at lightning speed. So when things get in the way of progress, the Business Systems Integration, Master Data Services team steps in to remove those roadblocks. The team identifies time-consuming internal data flows and processes and then builds Master Data Services that are reliable and scalable enough to work within the size and scope of the company. You listen to and translate Googler’s data services needs into high-level technical specifications, design and develop recommended systems and work with Google technical team to ensure smooth implementation. Whether battling large system processes or leveraging our homegrown suite of Google products for Googlers themselves, you help Googlers work faster and more efficiently.”

Preferred qualifications for the position include: “PhD degree in Computer / Information Sciences. Experience with commercial/OSS technologies in the following areas Ontology/RDF/OWL Data Distribution, Query Federation, Query Optimization, Messaging, Deltas, Batches, Synchronous/Asynchronous. Experience with designing services that are stateless, event driven, asynchronous, non-blocking, low-latency, horizontally elastically scalable on a cloud based architecture. Past experience as a lead developer in any of the leading Master Data Management products – Informatica/Siperian, IBM Infosphere MDM, Oracle CDH, Siebel UCM, SAP NetWeaver MDM, Tibco MDM, Adaptive, Collibra, SAS Data Flux, Pentaho, Talend, etc. Languages – Scala, Xquery, SPARQL.”

Find more great semantic technology jobs on our job board. Looking to hire? Tap into our network of talented professionals and post a risk-free job listing.

Image: Courtesy Google

You might also like...

Smart Data Webinar: Advances in Natural Language Processing II – NL Generation

Read More →