Hi Professionals,

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,



Anthony  Michael |Sr-Recruiter

*Deegit™ Inc* | Technology Consulting

1900 E Golf Rd., Suite 925, Schaumburg, IL 60173

*Phone* (847) 440 2436 Ext. 341

*Email **anth...@deegit.com* <anth...@deegit.com>

www.deegit.com

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