Senior Data Engineer - Mondelez International

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.

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

In This Role

As a Data COEData Engineer, you will have the opportunity to design and build scalable, secure, and cost-effective cloud-based data solutions. You will develop andmaintaindata pipelines to extract, transform, and load data into data warehouses or data lakes, ensuring data quality and validation processes tomaintaindata accuracy and integrity. You will ensure efficient data storage and retrieval foroptimalperformance, and collaborate closely with data teams, product owners, and other stakeholders to stay updated with the latest cloud technologies and best practices.

Role & Responsibilities:

Design and Build: Develop and implement scalable, secure, and cost-effective cloud-based data solutions.

Manage Data Pipelines: Develop andmaintaindata 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.

OptimizeData Storage: Ensure efficient data storage and retrieval foroptimalperformance.

Collaborate and Innovate: Work closely with dataarchitects, data modelers, product owners, and stay updated with the latest cloud technologies and best practices.

Team Lead: Create & lead a team ofdata engineers (external/internal)to ensuretimelydeliverables fulfilling all data engineering guidelines & standards.

Technical Requirements:

Programming: Python

Database: SQL, PL/SQL, Postgres SQL, Big query, Stored Procedure / Routines.

ETL & Integration: AecorSoft/Datasphere,DBT, Databricks(Optional)

Data Warehousing: SCDTypes,Fact & Dimensions, Star Schema

DataModeling: Erwin (Optional)

Medallion Architecture: Bronze, Silver, Gold, Platinum

GCP Cloud Services: Big Query, GCS, Cloud Function/Run, GKE

Supporting Technologies: Airflow(Composer),Automic.

Visualization (Optional): PowerBI(Optional), Tableau (Optional)

Soft Skills:

Problem-Solving: The ability toidentifyand solve complex data-related challenges.

Communication: Effective communication skills to collaborate with Product Owners, analysts, and stakeholders.

Analytical Thinking: The capacity to analyze data and draw meaningful insights.

Attention to Detail: Meticulousness in data preparation and pipeline development.

Adaptability: The ability to stay updated with emerging technologies and trends in the dataengineering field.

Business Unit Summary

At Mondelēz International