Data Engineer
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At P&G we don’t offer jobs, we offer careers. There are multiple roles in IT but they all have one thing in common: in each one you can make a huge impact.

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Our Roles - Data Engineer

Key responsibility: Build systems, solutions and data pipelines using Cloud components and tools. We mainly use Python and SQL for most of the backend and Databricks (PySpark, Spark SQL) for data wrangling.A Data Engineer builds the data pipelines and solutions that move and transform data across the company, and given P&G’s magnitude, this corresponds to a global scale. Key responsibilities include designing and developing scalable, advanced analytical solutions that consume large datasets and using industry leading Big Data technologies to increasing productivity of analytical models’ delivery. Success in your role will help to control the complexity of IT from business case owners. You will closely collaborate with Enterprise Architects, Data Managers, Cloud and Infosec experts.

Key Stack/Framework for this role: DevOps, CI/CD, Agile/Scrum, Python/PySpark, SQL, Databricks, Microsoft Azure
 
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