Big Data/ Cloud Engineer - San Francisco, CA !

San Francisco, CA San Francisco CA 94188

Date : Feb-21-19

Big Data/ Cloud Engineer - San Francisco, CA !

San Francisco, CA

Feb-21-19

Work Authorization

US Citizen
GC
H1B
EAD (OPT/CPT/GC/H4)

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect

Rate/Salary ($)

:

$100/Hr

Duration

:

1 Year

Sp. Area

:

BigData, NoSQL

Sp. Skills

:

Hadoop

Consulting / Contract

Required Skills :

Python, Big Data technologies Hadoop, Spark, Hive, BigQuery, Google Cloud Dataproc, Google cloud platform

Preferred Skills :

Domain :

Work Authorization

US Citizen
GC
EAD (OPT/CPT/GC/H4)
H1B

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect

Rate/Salary ($)

:

$100/Hr

Duration

:

1 Year

Sp. Area

:

BigData, NoSQL

Sp. Skills

:

Hadoop

Consulting / Contract

Required Skills :

Python, Big Data technologies Hadoop, Spark, Hive, BigQuery, Google Cloud Dataproc, Google cloud platform

Preferred Skills :

Domain :

Apply Now

Tekcel Consulting, Inc
Ashburn, VA
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Job Description :

Role: Big Data/ Cloud Engineer
Location: San Francisco, CA
Duration: 1 year+
Rate: $100 /Hr C2C DOE
Min Experience: 10+Yrs

Requirements and General Skills:
Google BigQuery: Derive business insights from extremely large datasets using Google BigQuery
Google Cloud Dataproc: Leverage unstructured data using Spark and ML APIs on Cloud Dataproc (Solid Spark and Hadoop skills)
Extracting Loading, Transforming, cleaning, and validating data
Designing pipelines and architectures for data processing
Creating and maintaining machine learning and statistical models
Querying datasets, visualizing query results and creating reports
Design and build data processing systems on Google Cloud Platform.
Hands-on experience on Python programming.

Required Skills: Python, Big Data technologies Hadoop, Spark, Hive, BigQuery, Google Cloud Dataproc, Google cloud platform

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