Big Data Careers

NoSQL Database Administrator

This role is part of the growing team at MetaScale, a big data company of Sears Holdings Corporation. The NoSQL Database Administrator will work with big data project teams to architect, design, implement and continuously improve database solutions. As an experienced database administrator, the successful candidate will have solid knowledge of mainstream RDBMS products and the Hadoop environment. The main responsibility of the NoSQL database administrator is to provide technical support for multiple NoSQL systems, such as Cassandra, MongoDB or Solr.

Network Architect

This role is part of the growing team at MetaScale, a big data company of Sears Holdings Corporation. The Network Architect will architect and maintain network implementations for big data projects. Network Architect must have advanced competency in routing, switching, firewall, load balancers, VPNs and MPLS. Network Architect will also be familiar working with Hadoop and NoSQL environments.

Solutions Architect

Do you care about squeezing the last millisecond of performance out of Hadoop and Cassandra, how to best configure the disk vs. memory requirements of MongoDB, and when to use document over column store over relational DBs? Do you enjoy explaining to strangers on a train how you removed the single point of failure on your latest Hadoop cluster? Do you like designing Big Data solutions for a diverse set of customers from various industries? Do you like being in a start-up culture?

Data Scientist

This role is part of the growing team at MetaScale, a big data company of Sears Holdings Corporation. The Data Scientist will work on big data projects analyzing various strategic questions utilizing unique large datasets.

Project Manager

This role is part of the growing team at MetaScale, a big data company of Sears Holdings Corporation. The Project Manager position is a ground-floor opportunity with responsibilities for the overall direction, coordination, implementation, execution, control and completion of big data projects.

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