Mondelēz International
Sr. Data Engineer
Remote Data Engineering role with clear candidate location fit.
PostedJul 9, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
India
Role overview
Sr. Data Engineer
Requirements and responsibilities
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Details
- 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.
- 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)
- 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.
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