Job Details

ID #51861400
Estado Pennsylvania
Ciudad Philadelphia
Full-time
Salario USD TBD TBD
Fuente Deloitte
Showed 2024-06-07
Fecha 2024-06-07
Fecha tope 2024-08-06
Categoría Etcétera
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Aplica ya

Senior ETL Datastage Developer - Senior Solution Specialist

Pennsylvania, Philadelphia, 19113 Philadelphia USA
Aplica ya

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.

Analyze data issues, identify and articulate the business impact of data problems

Perform code reviews and ensure that all solutions are aligned to pre-defined architectural standards, guidelines, best practices, and meet quality standards

The TeamArtificial Intelligence & Data EngineeringIn 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

QualificationsRequired:

Must have 5+ years of experience working within Data Warehouse environments

5+ years of experience with IBM DataStage

PL/SQL experience

Experience with Microsoft Power Apps

Experience with data warehouse integrations and designing dimensional data models

Must be able to maintain an Enterprise Data Warehouse (EDW) in support of business intelligence analytics

Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA; with the ability to commute to assigned location for the day, without the need for overnight accommodations

Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel

Bachelor's degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel.

Limited sponsorship may be available

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html 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.

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