Hi,

Hope you are doing good…


Please find the requirement and revert ASAP with the updated resume.
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Full Name of Candidate:
Email Address:
Contact details:

Current Location:
Relocation (Yes/NO):
Travelling (Yes/NO):
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4 Digit SSN Number:
Availability for the role:
Availability for the calls:
Any interviews lined up (Yes /No):
Expected Rate :

Expected Salary after contract:
Skype id:

____________________________________________________



*Job Title: Hadoop “Solution Architect”*

*Location: Chicago, IL*

*Duration: 12+ Months*



*Solution Architect with Hadoop.*

Big Data Solution Architects will be responsible for guiding the full
lifecycle of a Hadoop solution, including requirements analysis, platform
selection, technical architecture design, application design and
development, testing, and deployment.

Provide technical and managerial leadership in a team that designs and
develops path breaking large-scale cluster data processing systems

Dealing with large data sets and distributed computing

Working in the data warehousing and Business Intelligence systems

Working with various relational and MPP database platforms like Netezza,
Teradata

Hands-on experience with the Hadoop stack (e.g. MapReduce, Sqoop, Pig,
Hive, HBase, Flume)

Deep experience in working on large linux clusters

Hands-on experience with related/complementary open source software
platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef)

Hands-on experience with ETL (Extract-Transform-Load) tools (e.g
Informatica, Talend, Pentaho)

Hands-on experience with BI tools and reporting software (e.g.
Microstrategy, Cognos, Pentaho)

Hands-on experience with R, Matlab or other statiscal package

Hands-on experience with "productionalizing" Hadoop applications (e.g.
administration, configuration management, monitoring, debugging, and
performance tuning)

Previous experience with high-scale or distributed RDBMS (Teradata,
Netezza, Greenplum, Aster Data, Vertica)

Knowledge of cloud computing infrastructure (e.g. Amazon Web Services EC2,
Elastic MapReduce) and considerations for scalable, distributed systems

Knowledge of NoSQL platforms (e.g. key-value stores, graph databases, RDF
triple stores)



*Basic Qualifications*

- Seven or more years of experience in the design and implementation of
complex IT systems
- Five or more years of experience in a data-related role such as data
scientist or data architect
- Significant experience with data analytic tools including Apache Hadoop,
Hive, Pig, Spark, Storm, Mahout and others
- Exceptional interpersonal and communication skills
- Demonstrated effectiveness working across multiple business units to
achieve results
- An understanding of cloud computing deployment models as they relate to
data and analytics



*Preferred Qualifications*

- An advanced degree in computer science, engineering or related discipline
- Experience in a customer-facing, sales-aligned role such as consultant,
solutions engineer or solutions architect
- Working knowledge of one or more computer languages such as Java, R, C++,
Perl, Ruby or Python
- Hands-on experience with Amazon Web Services



.
Best Regards...

Amar
amarosai...@gmail.com
voice-630-566-7324

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