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 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. You will ensure efficient data storage and retrieval for optimal performance, 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 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.
- Team Lead: Create & lead a team of data engineers (external/internal) to ensure timely deliverables fulfilling all data engineering guidelines & standards.

Technical Requirements:

- Programming: Python
- Database: SQL, PL/SQL, Postgres SQL, Bigquery, Stored Procedure / Routines.
- ETL & Integration: AecorSoft/DataSphere, DBT, Databricks (Optional)
- Data Warehousing: SCD Types, Fact & Dimensions, Star Schema
- Data Modeling: 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 to identify and 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 data engineering field.

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. You will ensure efficient data storage and retrieval for optimal performance, 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 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 effective 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.
- Team Lead: Create & lead a team of data engineers (external/internal) to ensure timely deliverables fulfilling all data engineering guidelines & standards.

Technical Requirements:

- Programming: Python, PySpark, SQL
- ETL & Integration: Databricks (Mandatory), AecorSoft/DataSphere,
- Data Warehousing: SCD Types, Fact & Dimensions, Star Schema
- Data Modeling: Erwin (Optional)
- Medallion Architecture: Bronze, Silver, Gold, Platinum
- AWS Cloud Services: Glue, Redshift, Lambda, EMR, Athena
- GenAI exposure: Gemini/Genie/Kiro etc.
- Supporting Technologies: Airflow (Composer), Automic.




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

Soft Skills:

- Problem-Solving: The ability to identify and 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 data engineering field.

Supporto alla Relocation disponibile?

Nessun supporto disponibile per la relocation

Riepilogo business unit

Alla Mondelēz International, la nostra missione è fornire ai consumatori lo snack giusto, al momento giusto, preparato nel modo giusto. Ciò significa offrire una vasta gamma di snack deliziosi e di alta qualità che nutrono i momenti della vita, realizzati con ingredienti e confezioni sostenibili per i quali i consumatori possono sentirsi bene.

Disponiamo di un’ampia gamma di forti marchi internazionali e locali, tra cui molti nomi rinomati come i biscotti Oreo , belVita e LU ; il cioccolato Cadbury Dairy Milk , Milka e Toblerone ; le caramelle Sour Patch Kids e la gomma da masticare Trident . Siamo orgogliosi di mantenere la prima posizione a livello globale nel business dei biscotti, cioccolato e caramelle e la seconda posizione per le gomme da masticare.

I nostri 80.000 produttori e fornai si trovano in oltre 80 paesi e vendiamo i nostri prodotti in oltre 150 paesi in tutto il mondo. Le nostre persone sono stimolate a crescere e sono fondamentali per vivere il nostro scopo e i nostri valori. Siamo una comunità diversificata che può far accadere le cose e farle accadere velocemente.

Mondelēz International è un datore di lavoro che offre pari opportunità e tutti i candidati qualificati verranno presi in considerazione ai fini dell’impiego a prescindere da razza, colore della pelle, religione, sesso, orientamento o preferenza sessuale, identità di genere, origine nazionale, stato di disabilità, stato di veterano protetto oppure qualsiasi altra caratteristica protetta dalla legge.

Tipo di lavoro

Contratto a tempo indeterminato Analytics & Modelling Analytics & Data Science

📌 Data Engineering Lead - Finance (Mumbai)
🏢 Mondelēz International
📍 Mumbai