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Data Architect (Plymouth Meeting, PA)
Ref No.: 18-61217
Location: Plymouth Meeting, Pennsylvania
Position Type:Direct Placement
Start Date: 08/23/2018
Data Architect
Plymouth-Meeting, PA
Permanent 

Mandatory Skills

.        Experience with data modeling tools, specifically ERwin

.        Experience with Hadoop ecosystem (Hadoop, Hive, Impala, HBase,

MapReduce/Yarn, etc.)


Job Requirement

.        Contribute to Data Architecture by providing ongoing analysis of

enterprise data stores to ensure the overall architecture remains

appropriate and optimal for current and planned usage.

.        Participate in requirements gathering, technical specifications,

architectural design and support development as it relate to database

design, access and utilization.

.        Contribute to the overall direction relative to systems of record
and how

data compliance and regulations affect the handling of data among

applications and the overall design recommendations.

.        Serve as a resource to less experienced team members on escalated

issues and as a training resource on understanding and handling the

company's data.

.        Receive complex work problems/questions, develop accurate
estimates

and create project and component work based on specifications.

.        Develop SQL code of medium to high complexity in support of these

activities and provide direction to others on how to handle the question

going forward.



Technical Skills and Qualifications:

.        Experience with data modeling tools, specifically ERwin

.        Experience with Hadoop ecosystem (Hadoop, Hive, Impala, HBase,

MapReduce/Yarn, etc.)

.        Strong native SQL skills

.        Strong experience in database and data warehousing concepts and

techniques. Must understand: relational and dimensional modeling,

star/snowflake schema design, BI, Data Warehouse operating

environments and related technologies, and ETL, MDM, and data

governance practices.

.        Working with development lifecycle tools, such as, Jira, Jenkins,

DevOps tools

.        Familiarity with Object Oriented concepts and languages, such as
Java

.        Familiarity with Functional programing concepts and languages