||The ideal candidate is a seasoned software engineer (10+ overall years) well-versed in data with hands-on experience architecting and implementing big data solutions, and last 3+ years of Apache Solr experience.
Use knowledge of traditional and developing methods to transform raw data into information critical to supporting client decisions.
Trouble-shoot current AS-IS legacy environment
Architect data processing pipelines for analysis and transformations on variously structured data sets.
Design and develop Big Data analytic solutions on a Hadoop-based platform and develop new or match and expand on legacy system capabilities.
Recommend system architectures that offer the most modern technologies while interfacing with an existing environment.
Engage clients in fast-paced technical discussions.
Required Skills and Experience:
·BA or BS degree and 5+ years of experience with Big Data analytics
Experience with machine learning algorithms, statistics, or other large-scale data analytical methods.
Experience with using distributed computing technologies, including Hadoop, MapReduce, and Spark to write data analytic processing jobs both in batch and streaming.
Experience with implementing and leveraging Apache Solr (need to have current Solr experience, not from 2 years ago)
Experience with leveraging NoSQL database systems