About us 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 BEES At BEES, our ambition is – and always will be – to put customers at the heart of everything we do, making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers, unlocking new growth opportunities for all. What you'll do: <ul> <li data-start="1260" data-end="1353">Implement ETL/ELT solutions and data integration between multiple systems and data sources.</li> <li data-start="1356" data-end="1457">Design, implement, and maintain data pipelines to ingest, store, and process large volumes of data.</li> <li data-start="1460" data-end="1530">Collaborate with other teams to ensure data security and compliance.</li> <li data-start="1533" data-end="1645">Design, develop, and implement solutions to optimize the performance and scalability of data processing systems.</li> </ul> What you'll need: <ul> <li data-start="1687" data-end="1816">Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or similar;</li> <li data-start="1819" data-end="1842">Intermediate English;</li> <li data-start="1845" data-end="1965">Apply knowledge of data pipeline concepts and tools to implement data transformation, cleaning, and aggregation tasks.</li> <li data-start="1968" data-end="2070">Use data pipeline frameworks and libraries to automate data processing tasks and optimize workflows.</li> <li data-start="2073" data-end="2191">Follow best practices for developing data pipelines, including version control, testing, and thorough documentation.</li> <li data-start="2194" data-end="2301">Apply programming skills in Python, PySpark, Scala, and SQL to effectively manipulate and transform data.</li> <li data-start="2304" data-end="2426">Understand and utilize cloud computing platforms and services offered by providers such as AWS, Azure, and Google Cloud.</li> <li data-start="2429" data-end="2592">Develop data pipelines using orchestration frameworks (e.g., Apache Airflow, Luigi, Mage, Databricks Workflows), integrating with PySpark and/or Scala as needed.</li> <li data-start="2595" data-end="2674">Understand and apply software design principles to data engineering projects.</li> <li data-start="2677" data-end="2755">Apply data modeling techniques to design efficient and scalable data models.</li> <li data-start="2758" data-end="2868">Optimize PySpark and SQL query perform

Intermediate Data Engineer

Job Description