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


· MS/BS degree in a computer science or related discipline

Start date (dd-mmm-yy)


Duration of assignment (in Months)

Long term

Work Location (State, City and Zip)

Beaverton, Oregon


Annual $90,000K

Key words to search in resume

Big Data, Hadoop, Spark, Hive, SQL, AWS, Python