3 months ago
Campinas, BrazilMid Level
Responsibilities
- Implement ETL and ELT solutions and integrate data across multiple systems and sources.
- Design, implement, and maintain pipelines that ingest, store, and process large volumes of data.
- Optimize the performance, scalability, and query efficiency of data-processing systems.
- Apply data transformation, cleaning, aggregation, and modeling techniques.
- Develop and maintain APIs for data exchange between applications.
- Use orchestration, cloud, and automation tools to develop and optimize data workflows.
- Collaborate with other teams on data security, compliance, communication, and delivery.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or a similar field.
- Intermediate English proficiency.
- Programming skills in Python, PySpark, Scala, and SQL for data manipulation and transformation.
- Knowledge of data pipeline concepts, frameworks, libraries, ingestion, transformation, analysis, and visualization tools.
- Experience with AWS, Azure, Google Cloud, and their services.
- Experience with orchestration frameworks such as Apache Airflow, Luigi, Mage, or Databricks Workflows.
- Understanding of software design principles and data modeling techniques for scalable data systems.
- Ability to optimize PySpark and SQL query performance based on data volume, query complexity, and system resources.
- Knowledge of version control, testing, documentation, and data pipeline best practices.
- Experience with automation tools such as Azure DevOps, Terraform, and GitHub Actions.
- Logical reasoning, analytical ability, communication skills, autonomy, and ability to meet deadlines.
Benefits
- Performance-based bonus, attendance bonus, private pension plan, meal allowance, health, dental, and life insurance plans.
- Casual office and dress code, days off, transportation allowance, and childcare assistance.
- Medication discounts, discounts on Ambev products, WellHub and Clube Ben partnerships.
- Scholarship program, school supplies support, language learning platforms, and training.
Categories
Data Engineering
About BEES
BEES builds a B2B digital commerce and marketplace platform for small and medium retailers to order products, manage invoices, and track deliveries from AB InBev and partner suppliers. The business supports online ordering, promotions, and data-driven sales tools across 29 countries. Created by and owned by AB InBev, BEES is headquartered in Rotkreuz, Zug, and focuses on digitizing distributor-to-retailer workflows in beverage and adjacent categories.