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À propos
As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force for building solutions for Digital. You will be working on projects related to consumer behavior, commerce, and consumer touchpoints. Responsibilities: Design and implement distributed data processing pipelines using Spark, Hive, Python, and other tools and languages prevalent in the Hadoop ecosystem. Ability to design and implement end to end solution. Experience publishing RESTful API's to enable real-time data consumption using OpenAPI specifications. Experience with open source NOSQL technologies such as HBase, DynamoDB, Cassandra. Familiar with Distributed Stream Processing frameworks for Fast & Big Data like ApacheSpark, Flink, Kafka stream. Build utilities, user defined functions, and frameworks to better enable data flow patterns. Work with architecture/engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to. Experience in Business Rule management systems like Drools. Qualification: MS/BS degree in a computer science or related discipline. 6+ years' experience in large-scale software development. 3+ year experience in Big Data technologies. Strong programming skills in Java/Scala, Python, Shell scripting, and SQL. Strong development skills around Spark, MapReduce, and Hive. Strong skills around developing RESTful API's.
Compétences linguistiques
- English
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