Senior Data Engineer

Mondelēz International

Data Engineer designing and building scalable cloud-based data solutions at Mondelēz International. Managing data pipelines and leading a team to ensure data quality and performance.

Posted 5/21/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

AirflowBigQueryCloudETLGoogle Cloud PlatformPostgresPythonSQLTableau

About the role

Key responsibilities & impact

Design and implement scalable, secure, and cost-effective cloud-based data solutions
Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes
Ensure data quality and validation processes to maintain data accuracy and integrity
Ensure efficient data storage and retrieval for optimal performance
Collaborate closely with data teams, product owners, and other stakeholders
Create & lead a team of data engineers to ensure timely deliverables fulfilling all data engineering guidelines & standards

Requirements

What you’ll need

Experience with cloud technologies
Programming: Python
Database: SQL, PL/SQL, Postgres SQL, Big query
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: PowerBI (Optional), Tableau (Optional)

Benefits

Comp & perks

No Relocation support available

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLPL/SQLPostgres SQLBig QueryETLData WarehousingData ModelingMedallion ArchitectureGCP Cloud Services

Soft Skills

collaborationleadershipcommunicationorganizational skills