Job Description :
Job Title
Sr. Big Data Engineer
Relevant Experience
(in Yrs)
5-8 yrs.
Technical/Functional Skills
· 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, Dynamo DB, Cassandra
· Familiar with Distributed Stream Processing frameworks for Fast & Big Data like Apache Spark, 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 implements, and engineering best practices are defined and adhered to.
· Experience in Business Rule management systems like Drools
Experience Required
· 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
Roles & Responsibilities
· As a Sr. Big Data Engineer you will work with a variety of talented teammates and will be a driving force for building solutions. You will be working on projects related to consumer behavior, commerce, and consumer touchpoints.
Generic Managerial Skills
Good communication skills
Education
· MS/BS degree in a computer science or related discipline
Start date (dd-mmm-yy)
02-15-2019
Duration of assignment (in Months)
Long term
Work Location (State, City and Zip)
Beaverton, Oregon
Salary
Annual $90,000K
Key words to search in resume
Big Data, Hadoop, Spark, Hive, SQL, AWS, Python