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.
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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
