Job Detail

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 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 implements, and engineering best practices are defined and adhered to.

  Experience in Business Rule management systems like Drools

Qualifications:

  MS/BS degree in a computer science or related discipline

  Minimum 5+ years’ experience in software development

  Minimum 1- 2 years’ experience in Big Data technologies