ETL Engineer - SAP Datasphere & Cloud Data Solutions

Datasphere ETL Engineer

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 -

As a Data COE Datasphere ETL Engineer, you will have the opportunity to design and build scalable, secure, and cost-effective cloud-based data solutions, with significant focus on SAP ecosystem and GCP. 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. The primary focus of this role is to architect and implement robust pipelines using SAP Datasphere to ensure high-quality data availability for advanced analytics initiatives. You will collaborate closely with data teams, product owners, and other stakeholders to stay updated with the latest cloud technologies and best practices.

What extra ingredients you will bring: Design and Build: Develop scalable, secure, and cost-effective cloud-based data solutions.

Design and build scalable data models and data flows within SAP Datasphere, leveraging its Federation/Replication capabilities to bridge SAP S/4HANA (or ECC) with GCP.

Manage Data Pipelines/Flows: Maintain, monitor, and optimize data pipelines/flows to extract (CDS views/ Direct database tables) and load data into data warehouses or data lakes.

Identify and resolve performance bottlenecks in data extraction and transformation, specifically optimizing for high-volume delta loads. • Ensure Data Quality: Implement data quality and validation processes to ensure data accuracy and integrity.

Collaborate and Innovate: Work closely with Data architects, data modelers, product owners, and stay updated with the latest cloud technologies and best practices.

Leadership: Lead a team of data engineers (external/internal) to ensure timely deliverables fulfilling all data engineering and integration guidelines and standards.

Job specific requirements: Familiarity with the SAP Integration Suite or Enterprise-grade ETL tools (e.g., Informatica, Talend, SSIS, FiveTran, or similar) for SAP-to-GCP connectivity.

• Solid understanding of data warehousing concepts, ETL/ELT principles, and data modeling techniques.

• Programming: Python

• Database: SAP, SQL, PL/SQL, Postgres SQL, Bigquery. Strong experience with SAP BW/4HANA or SAP Analytics Cloud or SAP Data Intelligence with a willingness to learn Datasphere.

• ETL & Integration: AecorSoft/DataSphere, ETL tools, GCP, Databricks (Optional). Knowledge of SAP HANA modeling and SAP Landscape Transformation (SLT) is highly preferred.

• 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 data engineering and cloud computing fields.

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. 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

RegularAnalytics & ModellingAnalytics & Data Science