Engenheiro de Dados | Data Engineer

Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours.
You provide software and application knowledge to support implementation of the given solutions.
How you will contribute
You will ensure that delivered services are optimized to meet business demands and the service operations strategy, plan, measure, report and communicate service improvement initiatives, and serve as a consultant on issues and resolutions. You will also recommend actions that can be taken to optimize investments and benefits and to mitigate risks. This role will require you to identify suppliers, evaluate them, on-board new vendors, establish and run vendor governance; collaborate with management and follow-up on requisitions, purchase orders, invoices, and payments; work with project resources to provide design collateral and to configure software components so they are aligned with security policy and governance; and ensure adherence to development and configuration standards and processes.
What you will bring
A desire to drive your future and accelerate your career. You will bring experience and knowledge in:

• Working collaboratively with multiple vendors
• Leading complex projects - project management
• Stakeholder management and influencing skills
• Managing infrastructure services delivery, support and excellence
• Working in global IT function with regional or global responsibilities in an environment like Mondelēz International
• Working with IT outsourcing providers using frameworks such as the IT Infrastructure Library
• Working with internal and external teams and leading when necessary

More about this role
We are aware of our role as transformation agents to generate positive change, so diversity, equity and inclusion are one of our priorities. We believe in breaking down stereotypes and barriers to ensure the representation of society within our company. And for that, we have a Diversity Committee that operates on four fronts, People with disabilities (PCD), Ethnic-Racial, Women and LGBTQIAP+, in addition to being part of MOVER - Movimento pela Equidade Racial.
What you need to know about this position:
As a Data COE Sr. 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 and 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 architects, data modelers, data product managers, and stay updated with the latest cloud technologies and best practices.
Grooming juniors: Guide & groom associate data engineers & data engineers (external/internal) to ensure timely deliverables fulfilling all data engineering guidelines & standards.
What extra ingredients you will bring:
Problem-Solving: The ability to identify and solve complex data-related challenges.
Communication: Effective communication skills to collaborate with Engineering Leads, Data Product Managers, Data Modeler, Data 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.
Technical Requirements:
Programming: Python, PySpark, SQL
ETL & Integration: Databricks (Mandatory), AecorSoft/DataSphere,
Data Warehousing: SCD Types, Fact & Dimensions, Star Schema, ETL
Data Modeling: Erwin (Optional)
Medallion Architecture: Bronze, Silver, Gold, Platinum
AWS Cloud Services: S3, Glue, Redshift, Lambda, EMR, Athena
GenAI exposure: Gemini/Genie/Kiro etc.
Supporting Technologies: Databricks Jobs, Airflow
Visualization (Optional): PowerBI (Optional), Tableau (Optional), GenBI (Optional)
Mondelez International is attentive to the future of work and values the well-being of our people, seeking to provide the best experiences. Therefore, some of our administrative vacancies are eligible for the hybrid model, allowing remote work on certain days of the week
No Relocation support available
Business Unit Summary
Mondelēz Brasil is Mondelēz International's fourth largest operation in the world, with approximately 7,500 employees proudly producing, selling and distributing some of the most beloved brands of chewing gum, candies, powdered beverages, cream cheeses, chocolates, cookies and desserts in Brazil. We make the Brazilians' favorite products such as Bis, Lacta, Oreo, Club Social, Sonho de Valsa, Trakinas, Trident, Halls, Royal, Tang and many others. We are truly part of the lives of Brazilians: You can find our mouth-watering products in more than 700,000 points of sale and we are present in more than 92% of Brazilian homes. Our factories are located in Vitória de Santo Antão, in the state of Pernambuco, and Curitiba, in the state of Paraná. We are also home to one of the company's 11 technology centers around the world, responsible for research and development, so we can continue to create new and innovative products, offering the right snack for the right time, done in 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
Software & Applications
Technology & Digital