Job! Hadoop Admin @ Chicago, IL
Anthony Michael
Hope you are doing great!!!
My name is Anthony Michael, I am a Sr. recruiting specialist at Deegit Inc. I have a requirement open for Hadoop Admin position that we are exclusively recruiting for our Direct Client. We are looking to fill this requirement urgently. This is a Long term project with a possible extension depending upon client’s needs, budgets and most importantly your performance.
Please send me an updated resume with those required skills included in it.
Below is the Job Description for your reference:-
Hadoop Admin
Location : Chicago, IL
Duration : Long term
Mandatory Skills:
Knowledgeable in SQL server DB
Aggressive self-starter, can operate without Infrastructure support
IOT experience
Desired Skills:
Predictive analytics, advanced analytics
R, SAS
Big Data Access Tools e.g. Platfora, Datameer.
Job Description:
1. a. Config DB backup and recovery processes b. File system (Blob & HDFS) management and monitoring c. Manage and review Hadoop log files; house keeping d. Experience with at least one popular Hadoop flavor – Cloudera, HortonWorks, MapR e. Installation and Config of Hadoop projects such as Hive, Pig, HBase, Spark, etc. f. Performance optimization (MR job and other) g. Setup performance monitoring & tuning
2. Cloud a. Solid experience managing & administering cloud platform - Azure, AWS, BigTable, etc. b. deploying Big Data solutions in Cloud c. Cluster install & config d. Capacity estimation and configure for elasticity e. Script automation for allocation, deallocation, etc.
3. Establish Big Data Security a. Data at Rest & Transit b. Access from backend and front-end applications c. Row level security & Role based security d. integration - LDAP, AD, Okta
4. Ingestion a. Sqoop, Kakfa, Storm – highly desirable b. ADF, Informatica Cloud, etc. are definite plus c. Setup processes for historical and incremental data ingestion
5. Front-end access – Configure connectivity and interfaces enabling Cognos, Tableau, PowerBI, R, and SAS applications to access Hadoop Big data.
6. Scheduler & Runtime environment – Configure YARN and Oozie for optimal resource utilization and end-to-end workflow process.
7. Deploy and configure Neo4J (Graph DB), Document DB and emerging big data repositories
8. Big data modeling
Best Regards,
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Anthony Michael |Sr-Recruiter |
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Deegit™ Inc | Technology Consulting |
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1900 E Golf Rd., Suite 925, Schaumburg, IL 60173 |
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Phone (847) 440 2436 Ext. 341 |
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Email Ant...@deegit.com |
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