Data Engineer

Job not on LinkedIn

🕒 April 1

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 46%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AB InBev

WebsiteLinkedInAll Job Openings

10,000+ employees

🏨 Hospitality

📣 Marketing

✈️ Travel

Hospitality • Marketing • Travel

AB InBev is a global brewing company known for its extensive portfolio of over 500 beer brands, including iconic global and local names. Committed to sustainability and responsible drinking, the company has a heritage spanning more than 600 years. AB InBev continually seeks innovation in brewing and serves to celebrate beer as a beverage of moderation.

📋 Description

• 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

• 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.

🏖️ 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