Sr.Hadoop Developer

Typically requires a Bachelors Degree and minimum of 5 years directly relevant work experience

Client is embarking on the big data platform in Consumer Digital using Hadoop Distributed File System cluster.  As a Sr. Hadoop developer you will work with a variety of talented client team mates and be a driving force for building solutions.  You will be working on development projects related to commerce and web analytics.

Responsibilities:
•Design and implement map reduce jobs to support distributed processing using java, cascading, python, hive and pig; Ability to design and implement end to end solution.
•Build libraries, user defined functions, and frameworks around Hadoop
•Research, evaluate and utilize new technologies/tools/frameworks around Hadoop eco system
•Develop user defined functions to provide custom hive and pig capabilities
•Define and build data acquisitions and consumption strategies
•Define & develop best practices
•Work with support teams in resolving operational & performance issues
•Work with architecture/engineering leads and other teams on capacity planning

Qualification:
•MS/BS degree in a computer science field or related discipline
•6+ years’ experience in large-scale software development
•1+ year experience in Hadoop
•Strong Java programming, shell scripting, Python, and SQL
•Strong development skills around Hadoop, MapReduce, Hive, Pig, Impala
•Strong understanding of Hadoop internals
•Good understanding of AVRO and Json and other compresssion
•Experience with build tools such as Maven
•Experience with databases like Oracle;
•Experience with performance/scalability tuning, algorithms and computational complexity
•Experience (at least familiarity) with data warehousing, dimensional modeling and ETL development
•Ability to understand and ERDs and relational database schemas
•Proven ability to work cross functional teams to deliver appropriate resolution

Nice to have:
•Experience with open source NOSQL technologies such as HBase and Cassandra
•Experience with messaging & complex event processing systems such as Kafka and Storm
•Machine learning framework
•Statistical analysis with Python, R or similar