Senior Data Engineer | BEES Personalization

AB InBev Growth Group; United States; Remote; USD 60,000 - 80,000; Full time

Job summary

An established industry player is seeking a Senior Data Engineer to drive the development of innovative data solutions. In this role, you will lead efforts to design data models, enhance data architecture, and implement efficient processes that support various products and services. Your expertise in cloud computing and programming will be essential in delivering high-quality data products that meet strategic needs. Join a dynamic team that values growth and innovation, where your contributions will have a significant impact on the company's digital transformation journey. This is a unique opportunity to thrive in a collaborative environment focused on leveraging technology for business success.

Benefits

Performance based bonus

Attendance Bonus

Casual office and dress code

Days off

Health insurance

Dental insurance

Life insurance

Discounts on products

School materials assurance

Language and training platforms

Qualifications

• Degree in Computer Science or similar required.
• Advanced English proficiency is a must.
• Experience with data pipeline solutions and cloud services.

Responsibilities

• Lead the development of data services and solutions for BEES.
• Design efficient data models and improve data product performance.
• Develop and maintain data processing and ingestion processes.

Skills

Data Modeling

Python

SQL

Cloud Computing (AWS, Azure, Google Cloud)

Data Quality Assurance

Agile Practices

Logical Reasoning

Analytical Skills

Education

Degree in Computer Science

Degree in Information Systems

Tools

PySpark

APIs

Job description

Remoto

Technical

• Level: Senior
• Hiring model: CLT

About AB InBev

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, 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 allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

About BEES

As a technology cell of our organization, we have a simple goal: grow. Grow as people, as professionals, 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 participate in major events and significant meetings throughout the year.

Responsibilities:

• Leads efforts within the organization to drive the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools and platforms used across BEES.
• Design efficient data models and understand concepts such as normalization, denormalization, and dimensional modeling.
• Implement improvements in architecture and processes to improve the performance, monitoring, and evolution of data products.
• Develop and maintain data ingestion, processing, control/security, and data provisioning processes for different consumers (services, front-end, among others).
• Contribute to obtaining knowledge in the business context and creating new data products to meet their strategic and operational needs.

Requirements and qualifications:

• Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar;
• Advanced English;
• Assess scalability, reliability, security, and compliance implications of data pipeline designs.
• Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud.
• Evaluate programming solutions in Python, PySpark, Scala, and SQL for data processing and analysis.
• Evaluate data quality processes and controls to ensure accuracy and completeness.
• Apply debugging techniques to identify and resolve cross-module issues.
• Implement monitoring, alerting, and failure handling mechanisms in architecture designs.
• Assess effectiveness of CI/CD principles and practices in automated pipelines.
• Design, develop, and maintain APIs for data exchange between applications.
• Apply Agile practices to plan, execute, and deliver data engineering tasks and projects.

Soft Skills:

• Logical reasoning and analytical skills;
• Meeting deadlines and quality of work;
• Effective and transparent dialog with other areas and co-workers;
• Ability to communicate and interpersonal relationships to present cases and discuss them with other areas involved;
• Being independent in activities;
• Work as part of a team, promoting a good relationship with the team;

Differentials:

• Evaluate data pipeline solutions for latency, throughput and accuracy.
• Analyze data requirements and business needs to inform data modeling decisions.
• Understand the principles and assumptions of different machine learning capabilities.
• Integrate data sets with visualization tools to create insightful reports and dashboards.

What We Offer:

• 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

Equal Opportunity & Affirmative Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.