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Hadoop admin with MS Azure
Arizona City, AZ
Arizona City
AZ
85223
Date
: Apr-21-20
2020-04-21
2021-04-21
Hadoop admin with MS Azure
Arizona City, AZ
Apr-21-20
Work Authorization
US Citizen
GC
H1B
OPT EAD, GC EAD, L2 EAD, H4 EAD, TN EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
Market
Duration
:
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Permanent Direct Hire
FULL_TIME
Direct Client Requirement
Required Skills
:
Windows Azure, Big Data, Hadoop, ACCESS, Data Scientist, Kafka, Linux Shell, MySQL, Oracle, SQL, Teradata
Preferred Skills
:
Azure, Big data
Domain
:
Work Authorization
US Citizen
GC
OPT EAD, GC EAD, L2 EAD, H4 EAD, TN EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
Market
Duration
:
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Permanent Direct Hire
FULL_TIME
Direct Client Requirement
Required Skills
:
Windows Azure, Big Data, Hadoop, ACCESS, Data Scientist, Kafka, Linux Shell, MySQL, Oracle, SQL, Teradata
Preferred Skills
:
Azure, Big data
Domain
:
Savvyan Technologies
Dallas, TX
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Greetings,
Location: Phoenix, AZ
Azure admin with Sql Dev Exp.
Azure admin is must to have
This engineer will help us build and support build out of our new big data environment being built on Azure.
Essential Duties and Responsibilities:
Day to Day support of existing data ingestion jobs
Design and implementation of roles, access, and data policies
Creation, support, and scheduling of ingestions from new sources
Ongoing data engineering and enhancements to data sets within the environment
Day to Day support for the health of the HDI/Databricks clusters in Azure
Writing shell scripts to automate jobs in HDI clusters
Installing packages if required in HDI clusters
Support integration of new CICD tools
Qualifications
Prior Hadoop Admin experience
Proficient with big data technologies
o Hive, Pig, HBase, MapReduce, Spark
Experience with open source ingestion tools
o Sqoop, Flume, Spark streaming, Kafka, Nifi
Proven experience building real-time steaming data sets (Flink, Spark streaming, storm)
Experience of Linux shell script
Experience working with and performing analysis using large data sets
o 10-1000 TB
Familiarity with common data science toolkits, such as R, Jupyter, & Python
Knowledge of traditional databases such as: Netezza, MySQL, Teradata, Oracle, etc
Preferred – Experience with Azure products: Azure Data Lake Store, Azure HD Insights, Cosmos DB, PowerBI
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