Experience with a range of big data architectures, including OpenStack, Hadoop, Pig, Hive or other big data frameworks
10+ years of software development experience, Design and build scalable infrastructure and platform to collect and process very large amounts of data (structured and unstructured), including streaming real-time data
Hands-on experience building large scale database applications, including architecture, implementation, scaling and support
At least five years RDBMS experience, and at least two years experience with Big Data databases and frameworks such as HBase, Cassandra, XtremeData, MongoDB.
Process data in large-scale environments, in Amazon EC2, Storm, Hadoop, Spark
Broad understanding and experience of Real-time analytics, NoSQL data stores, data modeling and data management, analytical tools, languages, or libraries (e.g. SAS, SPSS, R, Mahout).
Drive client engagements focused on Big Data and Advanced Business Analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management.
Communicate results and educate others through reports and presentations.
Knowledge of modern data visualization solutions such as Tableau, Qlikview, Pentaho, or Jaspersoft is a plus
Strong analytical, problem-solving, and communications skills with a collaborative attitude.