Data COE Sr. Data Engineer

Mondelez International; Mumbai; On-site; INR 15,00,000 - 22,00,000; Full time

Job summary

A leading global snacking company in Mumbai seeks a Data COE Data Engineer to develop cloud-based data solutions and optimize data quality. This role involves designing data pipelines and collaborating with various teams to implement best analytical practices. Ideal candidates will have strong technical skills, particularly in Python and SQL, as well as excellent problem-solving abilities.

Benefits

Country relocation support

Volunteer international transfer policy assistance

Qualifications

• Experience using data analysis to make recommendations.
• Technical background in analytics practices.
• Ability to deploy analytical approaches in complex organizations.

Responsibilities

• Develop and implement scalable cloud-based data solutions.
• Maintain data pipelines for data extraction, transformation, and loading.
• Ensure data quality and storage optimization.

Skills

Data analysis

Python

SQL

Problem-solving

Communication

Analytical thinking

Tools

BigQuery

Airflow

Databricks

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 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:

• Work in close partnership with the business leadership team to execute the analytics agenda
• Identify and incubate best‑in‑class external partners to drive delivery on strategic projects
• Develop custom models/algorithms to uncover signals/patterns and trends to drive long‑term business performance
• Execute the business analytics program 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 senior leaders
• Technical experience in roles in best‑in‑class analytics practices
• Experience deploying new analytical approaches in a complex and highly matrixed organization
• Savvy in usage of the analytics techniques to create business impacts

In This Role

As a Data COE 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.

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 Storage: Ensure efficient data storage and retrieval for optimal performance.
• Collaborate and Innovate: Work closely with data architects, data modelers, product owners, and stay updated with the latest cloud technologies and best practices.
• Team Lead: Create & lead a team of data engineers (external/internal) to ensure timely deliverables fulfilling all data engineering guidelines & standards.

Technical Requirements

• Programming: Python
• Database: SQL, PL/SQL, Postgres SQL, Bigquery, Stored Procedure / Routines.
• 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 (Optional): PowerBI (Optional), Tableau (Optional)

Soft Skills

• Problem‑Solving: The ability to identify and solve complex data-related challenges.
• Communication: Effective communication skills to collaborate with Product Owners, 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.

Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy

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 Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader 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 – both global and local. 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 number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum.

Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They 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.

Join us and Make It An Opportunity!

Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.