App Dev & STS Data Architect

Published: September 5, 2017
Job Type
Education Required
Bachelors or higher degree in Computer Science or a related discipline.


Requisition No.: 21650-1

Status: Full Time

Project Duration: 6 months

Position Description:

Data Architect


The Data Architect will work in Information and Data Management team to architect and deliver foundational data capabilities. The ideal candidate will have experience integrating large data sets from wide variety of sources, data transformations, standardization and data delivery processes. This is a hands-on architect role and we are looking for a technically sharp candidate. Experience with AWS Infrastructure, Spark/Scala, Hadoop Eco System is a must.


Job Responsibilities:

  • Understand and evaluate the latest trends in the Data Integration space including Cloud and Big Data technologies
  • Design, Implement and support Data Models, Integration processes that provide timely access to large datasets.
  • Build fault tolerant, self-healing, adaptive and highly accurate Data platforms.
  • Architect Solutions for Physical / Virtual/ Logical (text search) Data Integration.
  • Build Reference Architecture / Standardize on Tools & Technologies for Data Integration.

Skills Required

• Successful background as an architect on EDW/Data Lake projects
• Deep understanding of relational databases and data integration technologies.
• Strong in Unix shell/Perl scripting
• Excellent communication and collaboration skills are required.

Experience Required

• 5 + years of experience with AWS Stack (S3, EC2, Athena, RDS, EMR, Red Shift etc.)
• 3 + years’ experience with Hadoop Eco system (HDFS, SQOOP, Hive, PIG, Spark, Scala)
• 5+ years’ experience with traditional ETL tools (Informatica, Talend etc.)
• Experience with Data Virtualization Technologies (Denodo, Presto etc.) is a plus.
• Experience in integrating disparate data sources such as flat files, databases, xml files and/or unstructured data & web services
• Extensive experience with data modeling for analytical applications

Experience Preferred

• Experience with Clinical Trials Data, Real World Data, Claims Data is a plus.
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