About AB InBev
AB InBev is the leading global brewer and one of the top 5 consumer goods companies in the world. With over 500 beer brands, we are the number one or two in many of the main beer markets worldwide, including North America, Latin America, Europe, Asia, and Africa.
About ABI Growth Group
Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group enables us to maximize the use of data and drive AB InBev's digital transformation and organic growth around the world.
About BEES
As a tech cell of our organization, we have a simple goal: to grow. Grow as people, as professionals, and as a company. To achieve this, we use technology to create digital solutions that simplify our customers’ lives, make their decisions smarter, and their businesses more profitable. With offices in São Paulo and Campinas, we encourage our team to attend key events and meaningful in-person meetings throughout the year.
Responsibilities
Implement ETL/ELT solutions and data integration between multiple systems and data sources.
Design, implement, and maintain data pipelines to ingest, store, and process large volumes of data.
Collaborate with other teams to ensure data security and compliance.
Design, develop, and implement solutions to optimize the performance and scalability of data processing systems.
Requirements and qualifications
Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or similar;
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 PySpark 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 PySpark 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, Azure, Google Cloud) and their services.
Use automation frameworks and tools such as Azure DevOps, Terraform, and GitHub Actions.
Performance-based bonus
Attendance bonus
Casual office and dress code
Days off
Health, dental, and life insurance
Discounts on Ambev products
School materials assurance
Language and training platforms
#J-18808-Ljbffr