Posted:
8/10/2026, 11:49:45 PM
Location(s):
Maharashtra, India ⋅ Mumbai, Maharashtra, India
Experience Level(s):
Senior
Field(s):
Data & Analytics
Workplace Type:
On-site
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.
How you will contribute
You will:
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
More about this role
What you need to know about this position:
Looking for a savvy Data Engineer to join team of Modeling / Architect experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our
Education / Certifications:
5+ years of overall industry experience and minimum of 4-6 years of experience in building and deploying large scale data processing pipelines in a production environment.
Science or Engineering Degree with master’s in computer science (desirable)
A master’s in computer science, Computer, Electrical Engineering or a related field.
Self-reflective, has a hunger to improve, has a keen interest to drive their own learning. Applies theoretical knowledge to practice
Ability to work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues
Ability to think creatively, plan and prioritize work in a fast-paced environment.
Experience working with Google Cloud Platform (Big Query, GCS, Cloud Function, Composer etc.) or Microsoft Azure (ADF, Azure Data Lake Gen2, Databricks, SQL Server etc.)
GCP Professional Data Engineer certification / Azure Data Engineering Certification (desirable)
Having Experience of business domains like FMCG/ CPG /Retail /Supply Chain will be added advantage.
Job specific requirements:
Must have
Data engineering Concepts: Experience in working with data lake, data warehouse, data mart and Implemented ETL/ELT and SCD concepts.
Analytics: Fluent with SQL, PL/SQL and have used any of the analytics tools like Big Query, DataBricks etc. for data analytics
Data sources: Experience of working with structure data sources like SAP, BW, Flat Files, RDBMS etc. and semi structured data sources like PDF, JSON, XML etc.
Programming: Understanding of OOPs concepts and strong hands-on experience with Python for programming and scripting.
Cloud Platform: GCP, GKE, Composer-3 (Managed Airflow)
Orchestration: Experience in orchestrating/scheduling data pipelines using any of the tools like Airflow, Alteryx, Azure Data Factory
Nice to have
Visualization: Exposure of reporting tools like Tableau, Looker and PowerBI.
API: Experience in implementing solutions involving REST APIs, Graph QL etc.
DevOps: Worked with framework involving CI-CD pipelines, like Jenkins and Git setup. Should have understanding about Identity and Access Management (IAM) from cloud standpoint.
Data Quality: Exposure of all the phases of testing, data validation and data reconciliation.
Have Built analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Website: https://www.mondelezinternational.com/
Headquarter Location: Chicago, Illinois, United States
Employee Count: 10001+
Year Founded: 1903
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: Consumer Goods ⋅ Food and Beverage ⋅ Food Processing ⋅ Manufacturing