Data Integration Manager

Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It With Pride.

We are seeking a highly motivated and experienced Data Integration Manager to join our growing data team. In this role, you will be responsible for developing, maintaining, and optimizing our data integration processes and automating workflows. You will play a key role in integrating data from multiple systems and creating micro-architectures to support our data-driven initiatives. 

How you will contribute

You will: 

• Create micro-architectures to support specific data integration needs. 

• Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into our data warehouse and other data platforms. 

• Implement and promote Data as a Product (DaaP) principles to enable data ownership and access. 

• Build and manage data pipelines on Google Cloud Platform (GCP) using services such as BigQuery, and Cloud Storage. 

• Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and deliver effective data integration solutions. 

• Monitor data integration processes and proactively identify and resolve issues related to data quality, performance, and security. 

• Develop and maintain data integration documentation, including data dictionaries, data flow diagrams, and standard operating procedures. 

• Stay up-to-date with the latest data integration technologies and trends and recommend improvements to our data integration architecture and processes. 

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

• Bachelor's degree in computer science, data science, or similar experience. 

• 5+ years of experience in data integration, ETL development, and data warehousing. 

• Strong understanding of data integration principles, data modeling techniques, and data quality best practices. 

• Experience with Data as a Product (DaaP) or data mesh concepts. 

• Proficiency in Google Cloud Platform (GCP) data services such as Dataflow, Dataproc, BigQuery, and Cloud Storage. 

• Experience with workflow orchestration tools such as Automic. 

• Strong programming skills in Python or other scripting languages. 

• Experience with relational databases such as MySQL, PostgreSQL, or SQL Server. 

• Excellent problem-solving, communication, and collaboration skills. 

To be successful in this role, you must have: 

• A deep understanding of data integration and automation. 

• Strong analytical and problem-solving skills. 

• Experience at large, complex, cross functional companies. 

• The ability to work independently and as part of a team. 

• Excellent communication and interpersonal skills. 

• A passion for data and a desire to learn new technologies. 

• Some Project Management Skills 

More about this role

Education / Certifications: Bachelor's degree in computer science, data science.

Job specific requirements:5+ years of experience in data integration, ETL development, and data warehousing.

Travel requirements: Ocassional

Work schedule: Office shifts in the location

Relocation Support Available?

No Relocation support available

Business Unit Summary

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!

Our people make all the difference in our succes

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Excited to grow your career?

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!

IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER

Job Type

Regular

Analytics & Modelling

Analytics & Data Science