Job Description :
Hello,

I have an Urgent Position of Big Data Engineer in Philadelphia, PA .if you are interested kindly let me know with your updated resume and below detail.


Full Legal Name:-
Expected Hourly Rate:-
E-mail:-
Contact no:-
Current Location:-
Work Authorization:-
Availability:-
Skype id:-


Job Role: Big Data Engineer
Location: Philadelphia, PA
Contract Duration: 1+ year
Interview process: Phone/Skype/ F2F if locals

Job Description:

Responsibility
Designs, develops, and implements web-based Java applications to support business requirements.
Follows approved life cycle methodologies, creates design documents, and performs program coding and testing.
Resolves technical issues through debugging, research, and investigation. Relies on experience and judgment to plan and accomplish goals.
Performs a variety of tasks. A degree of creativity and latitude is required. Typically reports to a supervisor or manager.
Codes software applications to adhere to designs supporting internal business requirements or external customers.
Standardizes the quality assurance procedure for software. Oversees testing and develops fixes.
Contribute to the Design and develop high quality software for large scale Java/Spring Batch/Hadoop distributed systems by loading and processing from disparate data sets using appropriate technologies including but not limited to Hive, Pig, MapReduce, HBase, Spark, Storm and Kafka.
Skills
Requires a bachelor''s degree in area of specialty and 3 - 5 years of experience in the field or in a related area.
Familiar with standard concepts, practices, and procedures within a particular field.
3 to 5 years of Java experience.
Strong communication skills.
Experience with Hbase, kafka and spark.
Expert in HIVE SQL and ANSI SQL - Great hands on in Data Analysis using SQL.
Ability to write simple to complicated SQL in addition to having ability to comprehend and support data questions/analysis using already written existing complicated queries
Familiarity in Dev/Ops (Puppet, Chef, Python)
Understanding of Big Data concepts and common components including YARN, Queues, Hive, Beeline, AtScale, Datameer, Kafka, and HDF.
             

Similar Jobs you may be interested in ..