ideaVat
Senior Hadoop Developer
ideaVat, Seattle, Washington, us, 98127
Jobs Bridge Inc is among the fastest growing IT staffing / professional services organization with its own job portal. Jobs Bridge works extremely closely with a large number of IT organizations in the most in-demand technology skill sets.
Job Description
Skill:
BigData, Platform, Kafka, Storm, Hbase Location:
Seattle, WA Total Experience:
8 yrs. Max Salary:
Not Mentioned Employment Type:
Direct Jobs (Full Time) Domain:
Any Description
GC/CITIZEN can apply. Required Skills:
3-4 years hands-on experience on BigData platform; comprehensive experience in Big Data processing using Apache Hadoop and its ecosystem (MapReduce, Pig, Hive, Sqoop, Flume and HBase). Specialization/hands-on experience in development of applications using advanced technologies such as Kafka, Spark and Storm is preferred. Knowledge of configuring/administration of Hadoop and its ecosystem components such as Hive, Pig, Sqoop etc. Experience in importing and exporting data using Sqoop from HDFS to Relational Database Systems and vice-versa. Hands-on experience in configuring and working with Flume to load the data from multiple sources directly into HDFS. In-depth understanding/knowledge of Hadoop Architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node and MapReduce concepts. 5+ years of experience in leading business process design, business events derivation and associated data objects and entity modeling. 5+ years of experience in driving the enterprise data architecture strategy, methodology and standards that delivers enterprise data model, associated meta model, common business vocabulary and taxonomies. Experience in applying future state data architecture/design concepts such as Data Lake and Big Data to solve real-life problems. Exposure to large-scale/enterprise-level data centric projects is a must. In-depth understanding of RDBMS systems and Database Appliances (such as Oracle/RAC and Netezza). Experience reviewing designs for robustness and quality. TOGAF or an equivalent architecture framework certification (Preferred).
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Skill:
BigData, Platform, Kafka, Storm, Hbase Location:
Seattle, WA Total Experience:
8 yrs. Max Salary:
Not Mentioned Employment Type:
Direct Jobs (Full Time) Domain:
Any Description
GC/CITIZEN can apply. Required Skills:
3-4 years hands-on experience on BigData platform; comprehensive experience in Big Data processing using Apache Hadoop and its ecosystem (MapReduce, Pig, Hive, Sqoop, Flume and HBase). Specialization/hands-on experience in development of applications using advanced technologies such as Kafka, Spark and Storm is preferred. Knowledge of configuring/administration of Hadoop and its ecosystem components such as Hive, Pig, Sqoop etc. Experience in importing and exporting data using Sqoop from HDFS to Relational Database Systems and vice-versa. Hands-on experience in configuring and working with Flume to load the data from multiple sources directly into HDFS. In-depth understanding/knowledge of Hadoop Architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node and MapReduce concepts. 5+ years of experience in leading business process design, business events derivation and associated data objects and entity modeling. 5+ years of experience in driving the enterprise data architecture strategy, methodology and standards that delivers enterprise data model, associated meta model, common business vocabulary and taxonomies. Experience in applying future state data architecture/design concepts such as Data Lake and Big Data to solve real-life problems. Exposure to large-scale/enterprise-level data centric projects is a must. In-depth understanding of RDBMS systems and Database Appliances (such as Oracle/RAC and Netezza). Experience reviewing designs for robustness and quality. TOGAF or an equivalent architecture framework certification (Preferred).
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