Senior Hadoop Engineer - Nike Digital Engineering

Nike - Beaverton, OR

Do you have passion for turning data into meaningful information and working with data at scale? As the Sr. Hadoop Engineer, you'll work with a variety of talented Nike teammates and be a driving force for building Business Intelligence and Analytics solutions for Nike digital. You'll be responsible for the delivery of solutions on top of Hadoop and AWS platform. These solutions power critical business decisions and personalized experiences for our consumers.

What we're looking for:

• Hands on experience with HDFS, Map Reduce, Spark, Hive, Airflow, Impala or similar technologies
• Research, evaluate and utilize new technologies/tools/frameworks around Hadoop and AWS eco system
• Excellent scripting skills in one or more (Java Script, Shell, Python etc.)
• Strong understanding of Hadoop architecture with AWS
• Build libraries, user defined functions and frameworks on Hadoop eco system.
• Demonstrated experience and ability to deliver results quickly and correctly in a fast-paced environment on multiple projects
• Build continuous integration and test driven development environment
• Implement automated testing for data transformation ensuring high quality for data integrity and consistency
• Execute all components of product testing such as functional, regression, end to end testing, performance & load testing and Failure mode testing
• Experience with performance/scalability tuning, algorithms and computational complexity
• Proven ability to work cross functional teams to complete solution design, development and delivery
• MS/BS degree in Computer Science or related discipline
• 6 years’ experience in large-scale distributed application development
• 2 year enterprise experience in Hadoop development

Preferred Experience:

• Experience with Machine Learning algorithms
• Statistical analysis with R, Python or similar
• Experience with NoSQL & Columnar Databases technologies such as Cassandra, Redshift/Hbase
• Experience with messaging & Complex event processing systems such as Kafka, Storm and Spark

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Posted: 30+ days ago

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