[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Mondelez International jobs](https://jobs.opennash.com/companies/mondelez-international/) · [Search jobs](/search/) Mondelez International · Mumbai, India # Associate Data Engineer Mumbai, India Full-time Data & Analytics Listed on Mondelez International’s official careers site. Posted October 12, 2026. Check that it is still open and apply there. [Apply on Mondelez International’s careers site →](https://mdlz.wd3.myworkdayjobs.com/External/job/Mumbai-India/Associate-Data-Engineer_R-178819) [OpenNash Jobs](https://jobs.opennash.com/) / [Mondelez International](https://jobs.opennash.com/companies/mondelez-international/) / Associate Data Engineer ## Job description ### 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. 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: - Execute the business analytics agenda in conjunction with analytics team leaders - Work with best-in-class external partners who leverage analytics tools and processes - Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance - Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: Using data analysis to make recommendations to analytic leaders Understanding in best-in-class analytics practices - Knowledge of Indicators (KPI's) and scorecards - Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus As a Data COE Associate 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. ### Experience Data Engineering: 2 to 4 years with good expertise in required tech stack. ### 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 Processing & Storage Ensure efficient data processing of pipelines & data storage for optimal retrieval performance. ### Collaboration Be an integral part of the delivery team by exhibiting close coordination within the assigned team to ensure timely completion of deliverables fulfilling all data engineering guidelines & standards. ### Technical Requirements Programming: Python, PySpark, SQL ETL & Integration: Databricks (LDP, Lakeflow Connect, Notebooks), AecorSoft/DataSphere Data Warehousing: SCD Types, Fact & Dimensions, Star Schema, ETL Data Modeling: Dimensional modelling understanding, Erwin tool (Optional) ### Medallion Architecture Bronze, Silver, Gold (Databricks Medallion Architecture) ### AWS Cloud Services S3, Lambda, EC2, Glue, Redshift GenAI exposure: Genie/Kiro/Gemini etc. ### Scheduling Technologies Lakeflow Jobs, Airflow Visualization (Optional): PowerBI (Optional), GenBI (Optional) ### Soft Skills Problem-Solving: The ability to identify and solve complex data-related challenges. ### Communication Effective communication skills to collaborate with Engineering Leads, Data Product Managers, Data Modeler, Data 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. No Relocation support available Business Unit Summary At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast. 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. Job Type Regular Analytics & Modelling Analytics & Data Science ## At a glance - Posted by the employer: Oct 12, 2026 - First seen by OpenNash: Oct 18, 2026 - Last checked: Oct 18, 2026 - Listed for: 6 days - Location: Mumbai, India - Employment type: Full-time[Apply on Mondelez International’s careers site →](https://mdlz.wd3.myworkdayjobs.com/External/job/Mumbai-India/Associate-Data-Engineer_R-178819) ## More jobs at Mondelez International ### [Data, Cutover & Testing Coordinator – S4 HANA AMEA](https://jobs.opennash.com/companies/mondelez-international/jobs/e85d9843ec3c8268feae/) Mumbai, India ### [Analyst, External Manufacturing Finance](https://jobs.opennash.com/companies/mondelez-international/jobs/7b3daf9eba115361ff9e/) Mumbai, India ### [Chocolate FP&A Manager](https://jobs.opennash.com/companies/mondelez-international/jobs/07164e3f7c625b957301/) Mumbai, India ### [Demand Planner](https://jobs.opennash.com/companies/mondelez-international/jobs/94f806841ed132adda3c/) Mumbai, India ### [Demand Planning SME - o9 IBP & SOE](https://jobs.opennash.com/companies/mondelez-international/jobs/9046c1b517db68f30c31/) Mumbai, India ## Similar jobs at other companies ### [Data Solution Engineer, Data + AI](https://jobs.opennash.com/companies/microsoft/jobs/e6860d136c34c0225e23/) Microsoft · Singapore ### [Data Engineer - Industrial Data & AI Platforms](https://jobs.opennash.com/companies/accenture/jobs/f6a8ad77f7714a422651/) Accenture ### [Data Engineer II - CPB Data Curation](https://jobs.opennash.com/companies/td-bank-group/jobs/68bb13a51cb3d49d9658/) TD Bank Group · Toronto, Ontario ### [Resiliency Data Products - Data Engineer Vice President](https://jobs.opennash.com/companies/jpmorganchase/jobs/9014ce336f0dd9ce5d4c/) JPMorganChase · LONDON, United Kingdom ### [Staff Data Engineer, Observability Data Lake](https://jobs.opennash.com/companies/cvs-health/jobs/2f7aa743516b959b753f/) CVS Health · Work from home, TX OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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