Job Description :
Job Title: Big Data Developer
Location: Philadelphia PA (Local Only)
Duration: 6+ Months
Must be H1b and DL copy.
Interview process : Phone screen and In person

Responsibilities:
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.

ADDITIONAL NOTES FROM HM CALL
- SHOULD HAVE WORKED WITH LARGE VOL OF DATA 500 TB etc
- CURRENTLY BATCH PROCESSING, Streaming will be good to have
- BIG DATA, HADOOP, CLOUD, S3, SPARK, EC FILES,
- JAVA BACKGROUND, SCALA FOR SPARK APPLICATION
- GOOD AT DATA INGESTION PIPELINES, KAFKA, KINESIS,LAMBDA
- DATA ANALYSIS PIECE OF HOW THE PROCESSING HAPPENS
- GOOD CODING SKILLS
- WILLING LEARNER/ LEARNING AGILITY
- WORK WITH BOTH ONSHORE AND OFFSHORE TEAMS
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