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Hadoob Implementation SQL ETL RHEL Shell Script Engineer
(Jobs in Durham, NC)
 
Requirement id 118760
Job title Engineer
Job location in Durham, NC
Skills required Mongo DB, Hadoob, Implementation, SQL ETL RHEL Shell Script
Open Date 24-Aug-2021
Close Date
Job type Contract to Hire
Duration 16 Months
Compensation DOE
Status requirement ---
Job interview type ---
   Email Recruiter: coolsoft
Job Description Engineer: Mongo DB, Hadoob, Implementation, SQL ETL RHEL Shell Script

Candidate must be our W2 Employee.

Candidates RTR form should be only on the name of APEX Systems.

Note: Upon offer, client requires 5 years of W2s for US projects (where applicable) to validate consultants work history. It is required to show consultants W2 take home pay in the Exh A.

Description:

Senior Data Engineer

Our Client is looking for Senior Data Engineer with expertise in data integration and hands on experience in enterprise Hadoop based environments (specifically in AWS Elastic Map Reduce) to help design and build a new platform to ingest data from a variety of backend sources, transform, analyze, and expose views of the data to reporting and visualization tools such as Tableau.

Responsibilities

The main focus will be working with architects and other developers to design develop and deploy the new platform to support reporting / analytic needs. However, the work will include an element of data architecture and governance, for example finding ways to understand data lineage, suitable methods to catalog each attribute defined in the system, detailing its meaning. Lastly, the role will involve an element of initial support and operational handover, especially during the first release.


Role Requirements

Hands on design and development

Ability to work independently or in small teams to design and implement Hadoop based data extraction, transformation / processing for load / presentation into visualization / reporting tools

The solution will ingest data from traditional databases & data warehouses (predominantly Oracle), flat files, web services, Mongo DB sources process / transform and augment the data structuring it into views suitable for integration with visualization and reporting tools (e.g. Tableau, OBIEE)

Be highly proficient in the following languages, tool and frameworks meaningful to the components and techniques relating to Hadoop implementations, e.g.: Hadoop, HDFS, Sqoop, Spark, Presto, Oozie, Hive

Notebook platforms

Scala, Python or Java (and specifics of integration with the Hadoop libraries / components)

Amazon Web Services / EMR architecture and operation

Additionally, experience and knowledge of key data integration points as well as technologies present in the broader Client environment is helpful:

Oracle, SQL, MongoDB

RHEL Linux, basic shell scripting, operating AWS instances and environments

ETL and data warehouse design

Public / hybrid Cloud platforms and practices (ideally AWS)

An understanding of client reporting tools (Tableau, Oracle OBIEE)

DevOps and deployment models

Good communication and collaboration skills

A self-starter who can lead and take ownership

Experience in agile environments – used to iterative delivery

Flexible and able to work across a mix of modern and legacy systems

The Value You Deliver

Understanding business needs & processes, crafting, detailing, developing, and implementing Big Data applications in a dynamic financial services environment

Assesses Industry standards for data models, incorporating new advances into internal architecture standards

Ownership of the technology work and providing leadership needed to complete a project of the highest quality, on time and within budget

Sharing written and spoken information in a way that is understood by those needing the information

Performing complex data warehouse development

Monitoring progress, work quality and risk of the projects; calling out situations needing management attention

Solving and investigating issues in support of third line producti
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 118760 while calling.
 
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(Engineer: Mongo DB, Hadoob, Implementation, SQL ETL RHEL Shell Script in Durham, NC)
     
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