Big Data Developer / Engineer

Salary depends on experience
Posted on 11/22/17
Redmond, WA
Less than 5 years experience
Staffing & Recruiting
Salary depends on experience
Posted on 11/22/17

Job Title                          :    Big Data Developer / Engineer

Location                            :   Anywhere in the US

Employment type        :  Fulltime – Permanent


• Bachelor’s degree or foreign equivalent required. Will also consider three years of relevant work experience in lieu of every year of education

• At least 2 - 4years of Design and development experience in Java/Core Java related technologies 

• At least 1year of hands on design and development experience on Big data related technologies – Hadoop, PIG, Hive, MapReduce & Webservices

• Should be a strong communicator and be able to work independently with minimum involvement from client SMEs

Preferred Skills:  

• HDFS, HBase, YARN, SPARK, Oozie and shell scripting

• Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture.

• Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types, Arrays and String Operations, Operators, Control Flow Statements, Inheritance and Interfaces, Exception Handling, Serialization, Collections, Reading and Writing Files. 

• Must have hands on experience in design, implementation, and build of applications or solutions using Core Java/Scala.

• Strong understanding of Hadoop fundamentals.

• Strong understanding of RDBMS concepts and must have good knowledge of writing SQL and interacting with RDBMS and NoSQL database - HBase programmatically.

• Strong understanding of File Formats – Parquet, Hadoop File formats.

• Proficient with application build and continuous integration tools – Maven, SBT, Jenkins, SVN, Git.

• Experience in working on Agile and Rally tool is a plus.

• Strong understanding and hands-on programming/scriptingexperience skills – UNIX shell, Python, Perl, and JavaScript.

• Should have worked on large data sets and experience with performance tuning and troubleshooting.

• Knowledge of Java Beans, Annotations, Logging (log4j), and Generics is a plus.

• Knowledge of Design Patterns - Java and/or GOF is a plus.

• Knowledge of Spark, Spark Streaming, Spark SQL, and Kafka is a plus.

• Experience to Financial domain is preferred

• Experience and desire to work in a Global delivery environment  

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