Intermediate Data Engineer
Posted 728 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 1 hour ago.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 728d ago
The date the source published, not the day we noticed it (2024-09-16). Last seen at its source 1h ago.
Is it remote?
Brazil, Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $90k–150k/yr
Middle 50% of 21 listings that do state pay — Engineering · all levels · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 11d ago · last seen 1h ago
The listing
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.
What you'll do:
- 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.
What you'll need:
- 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.
More about you:
- 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;
- 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.
What we offer
• Performance-based bonus*
• Attendance bonus*
• Private pension plan
• Meal allowance
• Casual office and dress code
• Days off*
• Health, dental, and life insurance plans
• Discounts on medications
• Partnership with WellHub
• Childcare assistance
• Discounts on Ambev products*
• Clube Ben partnership
• Scholarship program*
• School supplies support
• Language learning platforms and training
• Transportation 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