Associate Data Engineer

Mondelēz International; Mumbai City; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Mondelēz International in Mumbai seeks a Data COE Associate Data Engineer to design and build scalable cloud-based data solutions, develop and maintain data pipelines, and ensure data quality across warehouses and lakes.

You will collaborate with analytics teams, product owners, and stakeholders to adopt best practices in cloud technologies while expanding skills in Python, SQL, Databricks, and BI tools.

Qualifications

• 2–4 years of data engineering experience with relevant tech stack.
• Strong programming in Python, PySpark, and SQL.
• Experience with Databricks platforms and ETL design.
• Knowledge of dimensional modeling and data warehousing concepts is a plus.

Responsibilities

• Design scalable, secure cloud-based data solutions.
• Develop and maintain data pipelines to load data into data warehouses or data lakes.
• Ensure data quality and integrity through validation processes.
• Optimize data processing and storage for performance.
• Collaborate with data teams and stakeholders to deliver data engineering guidelines.

Skills

Problem-Solving

Communication

Analytical Thinking

Attention to Detail

Adaptability

Tools

Databricks

Erwin

Lakeflow

PowerBI

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 youwill support our businesswith 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 businessanalytics 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 than80countries and we sell our products in over150countries 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