Data Engineering Specialist
3 weeks ago
We are seeking a highly skilled R&D Data Engineering Specialist to join our team at Mondelēz International. As a key member of our R&D team, you will play a crucial role in developing and maintaining our existing R&D data infrastructure, while exploring and implementing new technologies and capabilities to enhance efficiency.
Key Responsibilities:- Develop and maintain robust data engineering solutions for R&D, working closely with stakeholders to determine how to use business data for business solutions and insights.
- Partner with R&D's Lead Data Engineer and cross-functional stakeholders to understand data needs and design scalable and reusable data models.
- Provide guidance and support to R&D on best practices for data engineering and data management, staying up-to-date on emerging trends and technologies.
- Collaborate with IT to assess and optimize the performance of R&D's data pipelines, ensuring efficiency and scalability.
- Identify data assets and systems, explore data, and create MVPs presenting business value for commercialization.
- Support the Data Scientists within the Digital CoE with data engineering and exploration.
- Monitor the performance of implemented data engineering solutions and make necessary adjustments to optimize effectiveness.
- Research, evaluate, and integrate advanced data engineering tools and platforms to enhance data processing and accessibility within R&D.
- Integrate new data engineering solutions seamlessly into existing systems, ensuring compatibility and scalability.
- A passion for making better use of our data.
- Understanding of data architecture and data modeling principles.
- Proficiency in using data engineering to build and optimize data pipelines and workflows.
- Technical experience in best-in-class data engineering practices.
- Experience deploying new data engineering approaches in a complex and highly matrix organization.
- Expertise in using advanced data engineering techniques to create business impacts.
- A BS or MS degree in a technical field, including Data Science, Mathematics, Computer Science, Physics, etc.
- At least six years of experience in data engineering, preferably within a similar function or industry.
- Experience with data engineering tools and platforms such as Spark, Databricks, and cloud-platforms like AWS, Azure, or Google Cloud.
- Experience with data modeling tools, preferably Erwin.
- Strong project management skills with the ability to prioritize tasks and manage timelines effectively.
We have a rich portfolio of strong brands globally and locally, including many household names. We are a diverse community that can make things happen—and happen fast. 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.
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