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Data Engineer | BEES Personalization
Отличная позиция в крупной международной компании с сильной инженерной культурой и современным стеком. Предлагается широкий пакет льгот и возможность работать над масштабными задачами персонализации.
Сложность вакансии
Роль требует уверенного владения стеком Big Data (PySpark, Scala) и опыта работы с облачными платформами. Высокая сложность обусловлена необходимостью оптимизации производительности систем при работе с огромными объемами данных глобальной компании.
Анализ зарплаты
Зарплата для данной позиции в Бразилии (учитывая локацию офисов в Сан-Паулу) обычно выше среднего по рынку для опытных инженеров данных, особенно в международных технологических хабах. Мы оцениваем рыночный диапазон для Middle/Senior Data Engineer в этом регионе как конкурентоспособный.
Сопроводительное письмо
I am writing to express my strong interest in the Data Engineer position within the BEES Personalization team at AB InBev. With a solid foundation in Computer Science and extensive experience in building robust ETL/ELT pipelines using Python, PySpark, and SQL, I am confident in my ability to contribute to your digital transformation goals. My background in designing scalable data models and optimizing query performance aligns perfectly with the responsibilities of this role.
Throughout my career, I have focused on implementing automated workflows using orchestration tools like Apache Airflow and leveraging cloud platforms such as Azure and AWS. I am particularly drawn to the BEES tech cell because of its commitment to using technology to simplify customer lives and drive business profitability. I am eager to bring my technical expertise and analytical mindset to your team to help maximize the use of data across AB InBev's global markets.
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Откликнитесь в abinbev уже сейчас
Присоединяйтесь к глобальному лидеру AB InBev и создавайте масштабируемые решения для персонализации данных в команде BEES!
Описание вакансии
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 & 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. 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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Навыки
- Python
- PySpark
- Scala
- SQL
- ETL
- ELT
- AWS
- Azure
- Google Cloud
- Apache Airflow
- Luigi
- Mage
- Databricks
- Data Modeling
- Terraform
- GitHub Actions
- Azure DevOps
Возможные вопросы на собеседовании
Проверка навыков оптимизации, критически важных для работы с большими данными в AB InBev.
Как бы вы подошли к оптимизации медленно работающего PySpark джоба, учитывая перекос данных (data skew)?
Оценка опыта работы с инструментами оркестрации, упомянутыми в вакансии.
Расскажите о вашем опыте проектирования DAG в Apache Airflow. Как вы обеспечиваете отказоустойчивость пайплайнов?
Проверка понимания архитектуры данных и масштабируемости.
Какие принципы моделирования данных вы считаете наиболее эффективными для аналитических хранилищ (DWH) при работе с терабайтными объемами?
Оценка навыков интеграции и работы с облачной инфраструктурой.
Опишите процесс интеграции данных из нескольких разрозненных источников в единое облачное хранилище (например, Azure Data Lake или AWS S3).
Проверка soft skills и умения работать в кросс-функциональной среде.
Приведите пример, когда вам приходилось объяснять технические ограничения архитектуры данных нетехническим стейкхолдерам.
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