We are the world’s leading brewer bringing people together for a better world. For centuries, the experience of sharing a beer has brought people and cultures together. Even in our hyper-connected, always-on world, this simple act is as meaningful today as it was generations ago. We are AB InBev. Committed to driving growth that leads to better living for more people in more places. Through brands and experiences that bring people together. Through our dedication to brewing the best beer with the best ingredients. And through our commitment to helping farmers, retailers, entrepreneurs, and communities grow. We are building a company to last. Not just for a decade. But for the next 100 years. Through our brands and our investment in communities, we will bring more people together, making our company an integral part of our consumers’ lives for generations to come. Our diverse portfolio of well over 500 beer brands includes global brands Budweiser, Corona and Stella Artois; multi-country brands Beck’s, Castle, Castle Light, Leffe and Hoegaarden; and local champions such as Aguila, Antarctica, Bud Light, Brahma, Cass, Chernigivske, Cristal, Harbin, Jupiler, Klinskoye, Michelob Ultra, Modelo Especial, Quilmes, Victoria, Sedrin, Sibirskaya Korona, and Skol. Anheuser-Busch InBev is a publicly traded company (Euronext: ABI) based in Leuven, Belgium, with secondary listings on the Mexico (MEXBOL: ANB) and South Africa (JSE: ANH) stock exchanges and with American Depositary Receipts on the New York Stock Exchange (NYSE: BUD).
Data Engineer | BEES Personalization
Location
Oregon
Posted
31 days ago
Salary
Not specified
Job Description
Job Requirements
- Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or similar;
- Intermediate English;
- Apply knowledge of data pipeline concepts and tools to implement data transformation, cleaning, and aggregation tasks.
- Use data pipeline frameworks and libraries to automate data processing tasks and optimize workflows.
- Follow best practices for developing data pipelines, including version control, testing, and thorough documentation.
- Apply programming skills in
- Python
- ,
- PySpark
- , Scala, and SQL to effectively manipulate and transform data.
- Understand and utilize cloud computing platforms and services offered by providers such as AWS,
- Azure
- , and Google Cloud.
- Develop data pipelines using orchestration frameworks (e.g., Apache Airflow, Luigi, Mage,
- Databricks
- Workflows), integrating with
- and/or Scala as needed.
- Understand and apply software design principles to data engineering projects.
- Apply data modeling techniques to design efficient and scalable data models.
- Optimize
- and SQL query performance, considering data volume, query complexity, and system resources.
- Use data tools for ingestion, transformation, analysis, and visualization.
- Soft Skills:
- Logical reasoning and analytical skills;
- Meeting deadlines and delivering quality work;
- Effective and transparent communication with other teams and coworkers;
- Communication and interpersonal skills to present and discuss cases with other involved areas;
- Autonomy in performing tasks;
- Nice to Have:
- Develop and maintain APIs for data exchange between applications.
- Experience with cloud computing platforms (AWS,
- , Google Cloud) and their services.
- Use automation frameworks and tools such as
- DevOps, Terraform, and GitHub Actions.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Data Engineering Consultant guiding clients through data platform decisions at InterWorks
Data Engineer Mid-Level - MLE - AI
IA na iFoodSomos uma empresa brasileira de tecnologia referência na América Latina. Por meio de soluções inovadoras, conectamos milhares de restaurantes a milhões de consumidores diariamente com uma média de 100 milhões de pedidos mensais. Além do delivery de comida, também somos Mercado, Farmácia e Pet. Temos também o iFood Pago, nossa Fintech, que engloba o iFood Benefícios, o vale alimentação e refeição do iFood e o próprio iFood Pago, o banco do restaurante.
Desenvolver e operacionalizar modelos de Machine Learning, garantindo a implementação e manutenção de pipelines eficientes. Realizar deploy de modelos e gerenciar o ciclo de vida de modelos (LCM) dentro da plataforma GenPlat. Colaborar com a equipe para fomentar uma cultura forte...
Data Engineer II designing and scaling data platform for analytics and insights
Data Engineer
Keller Postman LLCClients First. Innovation Always. Excellence in Everything. One of the nation's fastest growing plaintiffs' law firms.
Data Engineer designing and maintaining scalable data management systems for Keller Postman