Join Mondelēz International’s mission to lead the future of snacking by supporting business analytics with excellent data models to uncover trends driving long-term results
Job Summary
Join Mondelēz International’s mission to lead the future of snacking by supporting business analytics with excellent data models to uncover trends driving long-term results.
The Senior Data Technology Engineer will be a key member of the Data COE within the Technology Enablement team, responsible for designing, building, and optimizing scalable data onboarding solutions.
Mondelēz International is a diverse community energized for growth, committed to sustainable ingredients and packaging, and is an equal opportunity employer.
Matching Summary
Join Mondelēz International’s mission to lead the future of snacking by supporting business analytics with excellent data models to uncover trends driving long-term results.
Skills & Requirements
Must-have
Python development skills
Google Cloud Platform expertise
Data engineering tools experience
CI/CD pipelines and DevOps practices
Data ingestion and transformation
Apache Airflow and GCP Composer
Containerization with Docker and Kubernetes
Nice-to-have
Mentoring junior engineers
Agile delivery mindset
Collaboration with cross-functional teams
Knowledge sharing culture
Innovative and self-motivated approach
Key Requirements
6+ years data engineering experience
5+ years Python, PySpark, GCP BigQuery experience
Bachelor’s or Master’s degree in Computer Science or related field
Experience with Databricks and microservices architecture
Familiarity with data governance and observability tools
Strong debugging and problem-solving skills
Ability to influence cross-functionally without authority