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:

- 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 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 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

More about this role

What you need to know about this position:

Looking for a savvy Data Engineer to jointeamof Modeling / Architect experts. The hire willbe responsible forexpanding andoptimizingour data and data pipeline architecture, as well asoptimizingdata flow and collection for cross functional teams.

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoysoptimizingdata systems and building them from the ground up.

The Data Engineer will support our software developers, database architects, dataanalystsand data scientists on data initiatives and will ensureoptimaldata delivery architecture is consistent throughout ongoing projects.

They must be self-directed and comfortable supporting the data needs of multiple teams,systemsand products. The right candidate will be excited by the prospect ofoptimizingor even re-designing our

Education / Certifications:





5+ years of overall industry experience andminimum of4-6 years of experience in building and deploying large scale data processing pipelines in a production environment.

- Science or Engineering Degree with master’s in computer science (desirable)

- Amaster’sin computer science, Computer, ElectricalEngineeringor a related field.

- Self-reflective, has a hunger to improve, has a keen interestto drivetheir own learning.Appliestheoretical knowledge to practice

- Ability to work with stakeholders including the Executive, Product, Data and Design teams toassistwith data-related technical issues

- Ability to think creatively,planand prioritize work in a fast-paced environment.

- Experience working with Google Cloud Platform (Big Query,GCS,Cloud Function, Composeretc.)orMicrosoftAzure (ADF, Azure DataLakeGen2, Databricks, SQL Serveretc.)

- GCP Professional Data Engineer certification / Azure Data Engineering Certification(desirable)

- Having Experience of business domains like FMCG/ CPG /Retail /Supply Chain will beadded advantage.

Job specific requirements:

Must have

- DataengineeringConcepts:Experience in working with data lake, data warehouse, datamartand Implemented ETL/ELT and SCD concepts.

- Analytics:Fluent with SQL, PL/SQL and have usedany of theanalytics tools like Big Query,DataBricksetc. for data analytics

- Data sources:Experience ofworking with structure data sources like SAP, BW, Flat Files,RDBMSetc.andsemi structured data sources like PDF, JSON,XMLetc.

- Programming:Understanding ofOOPs concepts andstronghands-onexperience withPython for programming and scripting.

- Cloud Platform:GCP, GKE, Composer-3 (Managed Airflow)

- Orchestration:Experience in orchestrating/schedulingdata pipelines usingany of thetools like Airflow, Alteryx, Azure Data Factory

Nice to have

- Visualization: Exposure of reporting tools like Tableau,LookerandPowerBI.

- API:



Experience in implementing solutions involving REST APIs, GraphQLetc.

- DevOps:Worked with framework involving CI-CD pipelines, like Jenkins and Git setup. Should haveunderstandingaboutIdentity and Access Management (IAM) fromcloudstandpoint.

- Data Quality:Exposure ofall thephases of testing, datavalidationand data reconciliation.

- Have Built analytics tools thatutilizethe data pipeline toprovideactionable insights into customer acquisition, operationalefficiencyand other key business performance metrics.

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 rapid.

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

📌 Data Engineer (India)
🏢 Mondelēz International
📍 India