Dear Candidate,


We have an urgent opening for  *Hadoop/  Big Data Engineer *and I have sent
you a  job description ,Please go through it and let me know if  you
are comfortable with it and also send me your consultant’s updated
resume ASAP.





*Job Title : Hadoop/  Big Data Engineer*


*Location:  Secaucus, NJ*

*Duration : 12+ Months Contract *

*Start :  ASAP*



*Please note, any consultant you submit must have both AWS and Reshift
experience.*




*Job Summary & Responsibilities:*

The Big Data Engineer contractor need is more of a systems person than a
developer. They will support the clients AWS environment. He/she will need
experience in Redshift and managing any flavor of Hadoop. Client is seeking
a Big Data Systems Engineer to join the Systems team. The Engineer will be
responsible for the build out, management and support of the Big Data
clusters based on AWS Redshift, Hadoop and other Big Data technologies, in
support of Advanced Analytic applications. The Candidate should have deep
expertise in system & data administration functions for a complex;
multi-system and multi-platform networks. SQL Server skills are highly
desirable. Systems Engineer will be responsible to provide the support to
the Analytics team and the user community. They will also be responsible
for code migration. This role requires a service oriented mentality with a
strong sense of ownership over incidents, and a resolution of issues in
alignment with the SLAs

*Both AWS and Redshift are required!*

*Key Responsibilities include:*

·         Implementation and ongoing administration of Big Data
infrastructure, configuration and tweaking of the environment for optimal
performance

·         Align with the Analytics team to propose and deploy new software
environments to expand existing environments

·         Manage and review Hadoop log files

·         File system management and monitoring

·         HDFS support and maintenance

·         Diligently teaming with the infrastructure, network, database,
application and business intelligence teams to guarantee high data quality
and availability

·         Collaborating with systems and foundation teams to install
operating system and Hadoop updates, patches, version upgrades when
required

·         Experience with disaster recovery and business continuity
practice in Hadoop stack

·         Experience in writing shell scripts using scripting languages
including Perl, Python, or Ruby

·         Hands on experience with Apache Hadoop Ecosystem components such
as Pig, Hive, HBase

·         Good understanding of SQL and NoSQL database concepts

·         Experience with distributed, scalable databases such as
Cassandra, MongoDB, HBase

·         Support production deployments



*Qualifications & Requirements:*

·         Well versed in installing & managing distributions of Hadoop
(Hortonworks, Cloudera, MapR, EMR, etc.)

·         Hands on experience with AWS Data Pipeline, Kinesis, Redshift.

·         Previous experience with Denodo or Composite

·         Previous experience with AWS Spark is a plus

·         Experience in performance tuning and troubleshooting Hadoop
Clusters

·         Strong knowledge in open source monitoring tools and Hadoop
monitoring tools.

·         A deep understanding of Hadoop design principals, cluster
connectivity, security and the factors that affect distributed system
performance.

·         Prior experience with AWS Kineis,

·         Good understanding of ETL processes.

·         Ability to independently learn new technologies through research
and vendor provided documentation.

·         Ability to work independently and proactively with a minimum of
supervision.

·         Excellent customer service attitude, communication skills
(written and verbal), and interpersonal skills.

*Preferred Educations, Skills and Experience:*

·         BS/MS degree in Computer Science or a related field

·         8+ years of IT experience

·         3-5 years of experience in deploying and administering Hadoop
Clusters

·         2-3 years of experience with SQL Server

·         Experienced in deployment and Administration for different Hadoop
distribution for leading organizations, which deal with strong
enterprise-scale solutions architecture and implementation.





*Anupam Amita |* *Technical Recruiter* | *Apetan Consulting LLC*

Tel: 201-285-8031 <201-448-3198> * 107 | Fax: 201-526-6869 | 72 Van

Reipen Avenue # 255 Jersey City, NJ 07306

[email protected] | www.apetan.com

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