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Job Information
Job title

Lead Data Engineer - Hadoop

Company Adecco Technical
Wage between $0.00 - $0.00 Annually
Location United States, California, South San Francisc
Employment type Full Time
Education Not Specified
Year Experience 4 - 5 Years of Practical Experience
Travel Not Specified
Published on 8/17/2009
Description


Adecco Engineering and Technical, a division of the world leader in the recruitment of bio-tech/pharmaceuticals space. One of our client in has an immediate opening for a Lead Data Engineer - Hadoop, a contract opportunity in San Francisco, CA.


If you are interested in this opportunity through Adecco, please email your resume directly to (see below) in Microsoft Word format







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Job responsibilities include all tasks and responsibilities associated with being a Data Warehouse Engineer including (but not limited to) the following:
Perform complex data integration within large distributed open source data platforms between different OS and data platform using Hadoop job tracker
Hands on knowledge with multiple large scale distributed data platforms such as SQL server, Oracle, TeraData and Hadoop distributed file systems
Good knowledge with Unix and Linux Scripting including data manipulation tools
Design, implement and deliver solutions that meets the data architect and product requirements
Contribute to the technical design of databases including schema and stored procedures
Employ best database development knowledge to address performance, scalability and efficiency issues with large Datawarehouse databases.
Respond to and solve technical problems
Work with application developers to create and update database components
Must have Requirements:
Minimum 5 years of experience in Data warehouse development and engineering experience
Must have 3 years of commercial Datawarehouse programming hands on experience in:
Hands on experience with Hadoop distributed file system
Experience with Hadoop/MapReduce
Expert knowledge developing and debugging in C/C and Java
Experience with Scripting languages such as Perl, Python, and Shell scripts
Experience with file systems, server architectures, and large distributed systems
Excellent knowledge of Java environments including memory management, garbage collection
Experience using open source performance testing/load generation tools
Benchmarking and optimizing software like Lucene and Hadoop is a strong plus
Knowledge of query plan analysis/tuning, contention/locking analysis and tuning
Hands on experience with Hadoop job tracker creation to extract data from Hadoop file systems
Data Warehouse Development in open source environment
Hands on data operation and Scripting within Java and Linux and Unix systems
process oriented with strong communication and documentation skills
query tuning, optimization, monitoring, data backup and recovery

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Experience/Skills
See Above
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