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Data Engineering Lead - Finance

Mdlz

  • Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride.
  • As a Data COE Data Engineer, you will have the opportunity to design and build scalable, secure, and cost-effective cloud-based data solutions.

About Mdlz

As a Data COE Data Engineer, you will have the opportunity to design and build scalable, secure, and cost-effective cloud-based data solutions.

The ability to stay updated with emerging technologies and trends in the data engineering field.

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.

Responsibilities

  • 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.
  • Design and Build: Develop and implement scalable, secure, and cost-effective cloud-based data solutions.
  • Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes.
  • Implement data quality and validation processes to ensure data accuracy and integrity.
  • Ensure efficient data storage and retrieval for optimal performance.
  • Work closely with data architects, data modelers, product owners, and stay updated with the latest cloud technologies and best practices.
  • Create & lead a team of data engineers (external/internal) to ensure timely deliverables fulfilling all data engineering guidelines & standards.
  • 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.
  • Design and Build: Develop and implement scalable, secure, and cost-effective cloud-based data solutions.
  • Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes.
  • Implement data quality and validation processes to ensure data accuracy and integrity.
  • Ensure efficient data storage and retrieval for optimal performance.
  • Work closely with data architects, data modelers, product owners, and stay updated with the latest cloud technologies and best practices.
  • Create & lead a team of data engineers (external/internal) to ensure timely deliverables fulfilling all data engineering guidelines & standards.
  • Airflow (Composer), Automic.

Requirements

  • Programming: Python Database: SQL, PL/SQL, Postgres SQL, Bigquery, Stored Procedure / Routines.
  • 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.
  • PowerBI (Optional), Tableau (Optional) Soft Skills: Problem-Solving: The ability to identify and solve complex data-related challenges.
  • Effective communication skills to collaborate with Product Owners, analysts, and stakeholders.
  • The capacity to analyze data and draw meaningful insights.
  • Meticulousness in data preparation and pipeline development.
  • The ability to stay updated with emerging technologies and trends in the data engineering field.
  • Programming: Python, PySpark, SQL ETL & Integration: Databricks (Mandatory), AecorSoft/DataSphere, Data Warehousing: SCD Types, Fact & Dimensions, Star Schema Data Modeling: Erwin (Optional) Medallion Architecture: Bronze, Silver, Gold, Platinum AWS Cloud Services: Glue, Redshift, Lambda, EMR, Athena GenAI exposure: Gemini/Genie/Kiro etc.
  • PowerBI (Optional), Tableau (Optional) Soft Skills: Problem-Solving: The ability to identify and solve complex data-related challenges.
  • Effective communication skills to collaborate with Product Owners, analysts, and stakeholders.
  • The capacity to analyze data and draw meaningful insights.
  • Meticulousness in data preparation and pipeline development.

Benefits

  • 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.

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