Cloud Data Engineer (f/m/d)

At DuPont, we are working on things that matter; whether it’s providing clean water to more than a billion people on the planet, producing materials that are essential in everyday technology devices from smartphones to electric vehicles, or protecting workers around the world. 

If you would like to be a part of a premier multi-industrial company that is delivering sustainable solutions that bring real purpose and value, of a company with collaborative spirit because it believes that we work best when we work together as a team and values the diversity of thought, then DuPont is the company for you!

We are excited to share that on May 22, 2024, DuPont announced plans to separate(1) into three industry-leading, independent publicly traded companies. This strategic move will create focused businesses with distinct investment profiles. We believe the proposed separations will create opportunities for all three future companies to better serve their customers and unlock long-term value for stakeholders. This process is expected to take 18-24 months from the date of announcement to complete. We are committed to supporting our employees throughout this transition and ensuring a smooth and successful separation process. We look forward to welcoming new talent who are interested in contributing to the continued success and growth of our evolving organization.

WHY JOIN US?

Our purpose is to empower the world with essential innovations to thrive. We work on things that matter! 

Have the Opportunity to chart your own course, challenge yourself, and acquire new capabilities to build a rewarding and fulfilling career. We reward employees with competitive pay and incentives to recognize skills, competencies, and contributions to business results. 

Get to Experience a collaborative environment where teamwork is celebrated with flexibility that enhances balance and an inclusive atmosphere that is welcoming to all!

Get to know our Purpose and make it yours by bringing innovations to market that improve the world, share a commitment to sustainability that makes our planet better and give back to communities in which we work and live.

We are looking for a highly experienced Data Engineer specializing in Cloud data services to join our team. In this role, you will be responsible for designing, developing, and implementing strategic solutions for our clients using Azure data services like Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Databricks and continuous integration/continuous deployment (CI/CD) processes.

Your key responsibilities:

• Define and document standards for Data Architecture, Data Models, Data Products and Data Catalogs.   

• Define data governance processes to ensure that data is reliable, accurate and well-managed; Create data security and privacy policies and procedures.

• Create and maintain data architecture models and documents for Azure data services.

• Design, configure, and implement our Azure Data Lake Storage (ADLS) to store, process, and analyze large-scale data sets.

• Develop and implement ETL processes using Azure Data Factory (ADF) for data integration between systems and Databricks for data manipulation and cataloguing.

• Design and implement CI/CD processes for Azure data services using Azure DevOps.

• Provide technical guidance and training to other team members on Azure data services.

• Collaborate with Azure Solution Architects, Data Scientists, and Business Analysts to design, develop, and deploy data solutions that meet business needs.

• Ensure that Azure data services adhere to established security and compliance standards.

• Continuously assess and evaluate new technologies and techniques to improve Azure data services and architecture.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or related field.

• 4+ years of experience in data engineering or related field.

• Strong SQL and Python skills.

• Deep knowledge of Azure data services such as Azure Data Lake, Azure Data Factory, Databricks and related CI/CD tools.

• Proficiency in data modeling, data warehousing, ETL processes, and data analytics.

• Strong problem-solving and troubleshooting skills.

• Excellent communication and collaboration skills.

• Ability to lead and mentor other team members.

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DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information.

(1)The separation transactions are subject to satisfaction of customary conditions, including final approval by DuPont's Board of Directors, receipt of tax opinion from counsel, the filing and effectiveness of Form 10 registration statements with the U.S. Securities and Exchange Commission, applicable regulatory approvals, and satisfactory completion of financing.  For further discussion of risks, uncertainties and assumptions that could impact the achievement, expected timing and intended benefits of the separation transactions, see DuPont’s announcement.