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Hadoop jobs in California
San Jose, CA
($) : Market
Any visa/tax term Hadoop Developer Location: San Jose CA Duration: 3 TO 6 CTH Top skills: 1. Hadoop fundamentals 2. Hive and SQL 3. Java big plus scala Responsibilities: Define recommended processes for data ingestion, management, transformation and egress Design and develop ingest, transformation and egress capabilities leveraging latest tools such as Kafka, Storm, Pig, Hive, Scoop, Flume, Spark etc. Assign schemas and create HIVE tables Facilitate
Oct-23-17
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San Jose, CA
($) : Market
The Java, Python and Linux requirements below can be lower than what I have mentioned, if looking for an engineer who would be creating applications / transformations on top of Hadoop. · Hands on experience working on Hadoop for 5 years or more · Hands on Experience on HIVE, OOZIE, PIG and Data Modeling · Deep understanding of internals of core Hadoop components - YARN, HDFS, and MapReduce · Strong experience in designing, creating, packaging and integratin
Oct-17-17
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San Jose, CA
($) : open
LOCALS only as FACE To FACE is Mandatory Hadoop , Kafka , Hive , Pig
Oct-03-17
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Hi, I have an immediate role as Lead Big Data with strong SQL expr. I had gone through your profile and believe that would be a perfect fit for this role. Below are job details. If interested please send updated resume, rate and contact details… Role: Lead Big Data with strong SQL expr Location: San Jose, CA Duration: Long term Client: Adobe JD Strong SQL expr Hig Data, Hive, Unix shell script, SAP SD / CRM (Analytics), ETL, Sqoop, Oozie, Map Reduce Addition skills: Spa
Oct-03-17
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Position: Sr, Hadoop Developer/ Architect Location: San Jose, CA Duration  ; Long term  Should have hands on in Hadoop/Hive/HBase. Should have knowledge on Apache Spark and Map reduce. Defining Hadoop Job Flows. Build distributed, reliable and scalable data pipelines to ingest and process data in real time. Hadoop developer deals with fetching impression streams, transaction behaviours, clickstream data and other unstructured data. Managing Hadoop jobs using scheduler. Revi
Sep-25-17
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