Data Engineering Lead - Finance

About the role

Are You Ready to Make It Happen at Mondelēz International? As a Data COE Data Engineer, you will have the opportunity to design and build scalable, secure, and cost-effective cloud-based data solutions. You will develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes, ensuring data quality and validation processes to maintain data accuracy and integrity.

What you'll do

• Design and Build: Develop and implement scalable, secure, and cost-effective cloud-based data solutions
• Manage Data Pipelines: Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes
• Ensure Data Quality: Implement data quality and validation processes to ensure data accuracy and integrity
• Optimize Data Storage: Ensure efficient data storage and retrieval for optimal performance
• Collaborate and Innovate: Work closely with data architects, data modelers, product owners, and stay updated with the latest cloud technologies and best practices

What you need

• SQL
• Python
• ETL
• Data warehousing
• BigQuery
• Databricks
• Any graduate

Good to have

• Data modelling
• dbt
• Power BI
• Tableau
• Airflow
• AWS