Hadoop Developer

Description

Description
Experience with AWS components and services, particularly, EMR, S3, and Lambda
Experience with open source NOSQL technologies such as HBase, DynamoDB, Cassandra Experience with messaging & complex event processing systems such as Kafka and Storm
Automated testing, Continuous Integration / Continuous Delivery
Scala Machine learning frameworks Statistical analysis with Python, R or similar
Work with a variety of talented Nike teammates and be a driving force for building solutions for Nike Digital. You will be working on development projects related to consumer behavior, commerce, and web analytics.
Design and implement distributed data processing pipelines using Spark, Hive, Sqoop, Python, and other tools and languages prevalent in the Hadoop ecosystem. Ability to design and implement end to end solution.
Build utilities, user defined functions, and frameworks to better enable data flow patterns.
Research, evaluate and utilize new technologies/tools/frameworks centered around Hadoop and other elements in the Big Data space.
Define and build data acquisitions and consumption strategies
Build and incorporate automated unit tests, participate in integration testing efforts.
Work with teams to resolving operational & performance issues
Work with architecture/engineering leads and other teams to ensure quality solutions are implements, and engineering best practices are defined and adhered to.