Immediate need for a talented Big Data Senior Developer with experience in the Telecom Industry.
This is a 06+ Months Contract opportunity with long-term potential and is located in Sunnyvale, CA. Please review the job description below.
Job ID: 19-26231
Key Responsibilities:
This is a 06+ Months Contract opportunity with long-term potential and is located in Sunnyvale, CA. Please review the job description below.
Job ID: 19-26231
Key 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 - 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.
- Loading and processing from disparate data sets using appropriate technologies including but not limited to, Hive, Pig, MapReduce, HBase, Spark, Storm and Kafka.
- 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.