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Mondelez International Data Engineer, Supply Chain in Mumbai, India

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.

You will provide technical contributions to the data science process. In this role, you are the internally recognized expert in data, building infrastructure and data pipelines/retrieval mechanisms to support our data needs

How you will contribute

You will:

  • Operationalize and automate activities for efficiency and timely production of data visuals

  • Assist in providing accessibility, retrievability, security and protection of data in an ethical manner

  • Search for ways to get new data sources and assess their accuracy

  • Build and maintain the transports/data pipelines and retrieve applicable data sets for specific use cases

  • Understand data and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation

  • Validate information from multiple sources.

  • Assess issues that might prevent the organization from making maximum use of its information assets

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

  • Extensive experience in data engineering in a large, complex business with multiple systems such as SAP, internal and external data, etc. and experience setting up, testing and maintaining new systems

  • Experience of a wide variety of languages and tools (e.g. script languages) to retrieve, merge and combine data

  • Ability to simplify complex problems and communicate to a broad audience

More about this role

What you need to know about this position:

  • Lead acquisition and structuring of Supply Chain data and partner with other functions to source data to deliver data to CAT (Central analytics team) for insights and reporting

  • Work with analysts and scientists to define complex technical challenges to be solved

  • Use appropriate software tools and programming methods to harness data. Improve data quality, reliability and efficiency to enable high performance solutions.

  • Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, GCP and SQL technologies

  • Partner with D&A data experts and business data SMEs to unlock data engineering challenges

  • Provide data structuring inputs to the MSC data foundation team

  • Identify internal process improvements to data architecture team to enable re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes

  • Work with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues

  • Communicate data availability and challenges and engage with stakeholders

  • Write and build best practice documentation and actively strives to change traditional ways of working within MSC

  • Research and keep up to date with developments in data engineering techniques

Job specific requirements:

  • Bachelor degree or higher in a STEM subject / computer science

  • Extensive experience of Data Engineering in a large complex business with multiple systems such as SAP ECC, BW, etc. and experience setting up, testing and maintaining new systems

  • Experience of a wide variety of languages and tools (e.g. script languages) to marry systems together

  • Ability to simplify complex problems and communicate to wide audience

  • Global experience preferred

Travel requirements:

  • 0-10% Travel may be required

Country to country Relocation support available through our Global Mobility Policies

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

Data Science

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!

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