Mid Level Data Engineer | BEES Personalization

AB InBev | Growth Group

United States

Remote

USD 100,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Performance-based bonus
Meal allowance
Health insurance
Private pension plan
Casual office and dress code
Days off
Training programs

Job summary

AB InBev Growth Group is seeking a skilled Data Engineer to implement ETL/ELT solutions and design scalable data pipelines. You will ingest, store, and process large data volumes while collaborating with cross-functional teams to ensure data security and compliance.

Required skills include Python, PySpark, Scala, and SQL, plus experience with cloud platforms (AWS, Azure, GCP) and orchestration tools such as Airflow, Luigi, or Databricks Workflows.

Qualifications

  • Bachelor’s degree in CS, Information Systems, or related field.
  • Intermediate English proficiency.
  • Strong Python/SQL skills for data transformation and cleaning.
  • Experience with PySpark and Scala for data processing.
  • Familiarity with cloud platforms (AWS, Azure, GCP).
  • Experience with Airflow, Luigi, or Databricks Workflows.
  • Knowledge of data modeling and ETL/ELT best practices.
  • Good documentation and version control habits.

Responsibilities

  • Implement ETL/ELT solutions and data integration across systems.
  • Design and maintain data pipelines for ingest, storage, and processing.
  • Collaborate with teams to ensure data security and compliance.
  • Improve performance and scalability of data processing systems.

Skills

Python
PySpark
Scala
SQL
Airflow
Databricks
Cloud platforms
ETL/ELT
Data pipelines
Documentation

Education

Bachelor's degree in CS/Engineering/IS or related

Tools

Apache Airflow
Luigi
Mage
Databricks Workflows

Job description

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;
  • 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 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.
Benefits:
  • Performance-based bonus*
  • Attendance bonus*
  • Private pension plan
  • Meal allowance
  • Casual office and dress code
  • Days off*
  • Health, dental, and life insurance
  • Medicines discounts
  • WellHub partnership
  • Childcare subsides
  • Discounts on Ambev products*
  • Clube Ben partnership
  • Scholarship*
  • School materials assurance
  • Language and training platforms
  • Transport allowance

Rules applied*

Equal Opportunity & Affiant Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affiant 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.The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.

For more information:

www.abinbev.com

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