Deloitte Talend Developer Solutions Specialist in Gilbert, Arizona
Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.
Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ...
Work you'll do/Responsibilities
Not only will candidates be joining a project team, but they will also be joining a team of resources dedicated to delivering client engagements from an off-site location focused on common tools, technologies, and methodologies.
The successful candidate will work with the Deloitte team to implement, maintain, 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.
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.
Developing inbound and outbound interfaces between the Employee Cloud and the various source systems we are pushing / pulling data from (or to).
4+ Years of experience with ETL, preferably Talend.
Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
Must have experience moving data between systems
Must have experience in data engineering with an emphasis on data analytics and reporting.
Must have experience maintaining an Enterprise Data Warehouse (EDW) in support of business intelligence analytics
Develop and maintain data warehouse objects
Experience working within an Extraction Transform Load (ETL) software
Must have experience working within Data Warehouse environments
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Ability to obtain and maintain secret clearance
Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve.
Must live or be willing to relocate to a commutable distance to one of the following cities: Lake Mary FL, Mechanicsburg PA, or Gilbert AZ
Must be able to be in your designated office location or at a project location 10%-30% of your time over the course of the year
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.