Over the last ten years our Client has develop a new way for marketers to connect with shoppers by developing and operating a retail-consumer applications that drive personalization and relevance on a massive scale. Their technology is reinventing the shopping experience and transforming digital marketing for the largest retailers in the world by combining shopper behavior and response data with powerful predictive analytics. Their digital focus includes in-store digital signage, digital coupons, QR codes, loyalty & rewards programs, personalized email, online, and mobile. All solutions are powered by our multi-channel targeting & personalization platform that currently optimizes over 4 billion marketing impressions per month.
In a hyper-agile dev environment, scaled execution, and approach to hybrid data integration (small & big, structured & unstructured) continually pushing software innovation.
The Sr. Hadoop Administrator will be an important member of the Operations team. You will play a key role in architecting, supporting and managing multiple Hadoop stacks + all the related software that the system uses to support our Big Data processing.
** Plan, build, scale and maintain Hadoop data centers; including a hybrid-cloud Azure center.
** Enable and support cross data center integrations.
** Maintain and stabilize HDFS, HBase, Hive, YARN, ZooKeeper, Kafka, Spark, Storm, etc.
** Work with various Engineering and Operations teams to analyze and optimize Hadoop usage.
** Investigate, select, and test potential new innovations for Big Data handling and processing.
** Create monitoring and notifications for alerts and first tier responses.
** Respond to operational failures and alerts based upon tiered SLA response rules.
** Manage/support HA & recovery scenarios for Hadoop.
** Work with IT to resolve Linux system level issues that affect Hadoop processing and storage.
** A demonstrated ability to maintain a detailed orientation, with a high emphasis on quality assurance.
** The ability to consistently function in a highly-organized and self-motivated manner.
** Hadoop, Java, Pig, SQL, C#, PHP, Python, R.
** 3 - 5+ years of experience in a similar role.
** B.S. or higher degree in Computer Science, Mathematics or other technical discipline.