#166571
, and enhance its enterprise-level data architecture using Informatica Power Center and Power Exchange tool.
Work with Business Analysts and Data Modelers to understand requirements.
Design and develop sustainable database ETL applications to support those requirements.
Create technical design documents that capture source to target mapping, define transformation algorithms, and document data quality rules.
The Team
Artificial Intelligence & Data Engineering:
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
Artificial Intelligence & Data Engineering will work with our clients to:
Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.
Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions.
Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements.
Qualifications:
Developing inbound and outbound interfaces between the Employee Cloud and the various source systems we are pushing / pulling data from (or to).
Required: