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SQL Big Data Administrator 10+ Years with Cloudera Cluster Exp :Near by Or Local to Reston VA : No H1B at Reston, Virginia, USA
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From:

Sam Young,

Swastik IT Services

[email protected]

Reply to:   [email protected]

SQL Big Data Administrator

Contract Duration: 12 months with potential for extension

Location: Remote with potential for meetings in Reston, VA, must reside within 2 hour distance from Reston, VA.

Max C2C Rate: $65/hour on C2C (cannot exceed this rate)

provide at least 2 ideally 3 professional references with the submission (i.e., recently contacted with good/working phone numbers and e-mails).

Top 3 Must Have Skills:

5+ years of experience with all the tasks involved in administration of Cloudera. Experience with Cloudera Cluster build infrastructure and installation.

3+ years of experience in the role of a Team Lead (not looking for a manager looking for someone with strong communication skills with ability to mentor and act as a POC during meetings etc.)

SME level experience with Apache Solr search platform

Position Description:

The Big Data Administrator will support an existing Cloudera/AWS data platform while the existing team

supports an ongoing enterprise migration to AWS. They will be responsible for configuring,

troubleshooting, and installing infrastructure systems. The Big Data Administrator will be responsible for

orchestrating, deploying, maintaining, and scaling cloud OR on-premises infrastructure targeting big

data and platform data management (e.g., data warehouses, data lakes) including data access APIs. They

will prepare and manipulate data using Hadoop or equivalent.) with emphasis on high availability,

reliability, automation, and performance.

What Youll Get to Do:

Represent team in all architectural and design discussions.

Be knowledgeable in the end-to-end process and able to act as an SME providing credible

feedback and input in all impacted areas.

Be involved in project tracking and task monitoring.

Ensure overall successful implementation especially where team members all are working on

multiple efforts at the same time.

Lead the team to design, configure, implement, monitor, and manage all aspects of Data

Integration Framework.

Define and develop the Data Integration best practices for the data management environment

of optimal performance and reliability.

Plan, develop, and lead administrators with projects and efforts, achieve milestones and

objectives.

Oversee the delivery of engineering data initiatives and projects including hands on with install,

configure, automation script, and deploy.

Develop and maintain infrastructure systems (e.g., data warehouses, data lakes) including data

access APIs.

Prepare and manipulate data using Hadoop or equivalent MapReduce platform.

Develop and implement techniques to prevent system problems, troubleshoot incidents to

recover services, and support the root cause analysis.

Develop and follow standard operating procedures (SOPs) for common tasks to ensure quality of

service.

Manage customer and stakeholder needs, generate, and develop requirements, and perform

functional analysis.

Fulfill business objectives by collaborating with network staff to ensure reliable software and

systems. Enforce the implementation of best practices for data auditing, scalability, reliability,

high availability and application performance.

Develop and apply data extraction, transformation, and loading techniques in order to connect

large data sets from a variety of sources.

Act as mentor for junior and senior team members.

Install, tune, upgrade, troubleshoot, and maintain all computer systems relevant to supported

applications including all necessary tasks to perform operating system administration, user

account management, disaster recovery strategy and networking configuration.

Expand job knowledge of engineering and leading technologies by reviewing professional

publications; establishing personal networks; benchmarking state-of-the-art practices;

educational opportunities and participating in professional societies.

Youll Bring these Qualifications:

Bachelors degree in Information Technology, Computer Science, or related discipline.

At least 10 years of Experienced with all the tasks involved in administration of big data and

Meta Data Hub such as Cloudera.

8 years of relevant engineering experience (an additional 4 years of relevant experience may be

added in lieu of degree).

5+ years of experience with all the tasks involved in the administration of Cloudera including

experience with Cloudera Cluster build infrastructure and installation.

3+ years of experience in the role of a Team Lead (not a manager someone with strong

communication skills with ability to mentor and act as a POC during meetings etc.).

SME level experience with Apache Solr search platform.

Advanced (expert preferred) level experience in administrating and engineering relational

databases (ex. MySQL, PostgreSQL), Big Data systems (ex. Cloudera Data Platform Private Cloud

and Public Cloud), Apache Solr as SME, ETL (ex. Ab Initio), BI (ex. MicroStrategy), automation

tools (ex. Ansible, Terraform, Bit Bucket) and experience working cloud solutions (specifically

data products on AWS) are necessary.

Experience with Ab Initio, EMR, S3, Dynamo DB, Mongo DB, ProgreSQL, RDS, DB2 is a Plus.

DevOps (CI/CD Pipeline) is a Plus.

Experience with Advance knowledge of UNIX and SQL

Experience with manage metadata hub-MDH, Operational Console and troubleshoot

environmental issues which affect these components

Prefer prior experience with migration from on-premises to AWS Cloud.

Represents team in all architectural and design discussions. Knowledgeable in the end-to-end

process and able to act as an SME providing credible feedback and input in all impacted areas.

Require tracking and monitoring projects and tasks as the lead.

Regards, 

Sam Young, Manager-Sales, 

(Best way to reach me is Email.) 

Email

:[email protected] 

Keywords: continuous integration continuous deployment business intelligence sthree database information technology Virginia
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01:58 AM 22-Nov-23


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