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Mondelez International

Senior Data Engineer

Mumbai, Maharashtra, India

132 Days ago

Job Overview


Posted Date: 07 May 2025

Job Type: Full Time

Workplace Type: Not Specified

Experience Level: Mid-Senior level

Salary: Competitive & Based on Experience

Experience: 0 - 0 yrs

Job Description


Are You Ready to Make It Happen at Mondel'z 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 Senior 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 teams, product owners, and stay updated with the latest cloud technologies and best practices.

Technical Requirements:

Programming:

Python, PySpark, Go/Java

Database:

SQL, PL/SQL

ETL & Integration:

DBT, Databricks + DLT, AecorSoft, Talend, Informatica/Pentaho/Ab-Initio, Fivetran.

Data Warehousing:

SCD, Schema Types, Data Mart.

Visualization:

Databricks Notebook, PowerBI (Optional), Tableau (Optional), Looker.

GCP Cloud Services:

Big Query, GCS, Cloud Function, PubSub, Dataflow, DataProc, Dataplex.

AWS Cloud Services:

S3, Redshift, Lambda, Glue, CloudWatch, EMR, SNS, Kinesis.

Azure Cloud Services:

Azure Datalake Gen2, Azure Databricks, Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics.

Supporting Technologies:

Graph Database/Neo4j, Erwin, Collibra, Ataccama DQ, Kafka, Airflow.

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 Mondel'z 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.

Mondel'z 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 Mondel'z 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.


Key skill Required

  • Java
  • SQL
  • JAVA
  • Python
  • AWS
  • Algorithms
  • Azure
  • CloudWatch
  • Data Analysis
  • Data Engineering
  • Java
  • Adaptability
  • Affirmative Action
  • Analysis
  • Analytical Thinking
  • Analytics
  • Attention to Detail
  • Azure Data Factory
  • Business Analytics
  • Business Leadership
  • Communication
  • Data Mart
  • Data Pipelines
  • Data Preparation
  • Data Quality
  • Data Science
  • Data Storage
  • Database
  • Design
  • Development
  • Effective Communication
  • Emerging Technologies
  • Graph Database
  • Integration
  • Leadership
  • Methodical
  • Methodical Approach
  • Neo4j
  • Orientation
  • Packaging
  • Partnership
  • Pipeline
  • PL/SQL
  • Pyspark
  • Science
  • Soft Skills
  • Validation
  • Visualization
  • International


Company Details


Company about us:

By focusing on these priorities, we aim to deliver top-tier financial performance while staying true to our purpose and values.Our Commitment to Sustainability Sustainability is at the heart of our business and we are committed to making a positive impact on people and the planet. We are working towards ambitious...

Company Name: Mondelez International

Recruiting People: HR Department

Contact Number: --

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