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Data Engineer
1 miesiąc temu
About the Role
We are seeking a highly skilled Data Engineer to join our team at Procter & Gamble. As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data systems and solutions using various cloud platforms, including Microsoft Azure, Google Cloud, and Amazon Web Services.
Key Responsibilities
- Design and implement data pipelines and analytics platforms to answer business questions
- Build data & analytics solutions in Databricks on Microsoft Azure
- Develop within existing designs of various solutions in Microsoft Azure environment
- Plan and implement pipelines for structured and unstructured data
- Work on automation and optimization of internal processes in Azure
- Collaborate with multifunctional and multinational teams within and outside of P&G
Requirements
- Proven experience in Python/PySpark and SQL/SparkSQL programming skills
- Experience in Big Data / ETL (Spark and Databricks preferred)
- Knowledge and/or experience with using or building CI/CD tools
- Experience in implementing projects & solutions in cloud (Azure/GCP preferred, AWS)
- Knowledge of AAS, DAX, and PowerBI front end
- Experience with deploying machine learning models
What We Offer
- Project ownership and autonomy to deliver change and results from the beginning
- Dynamic and encouraging work environment
- Continuous mentoring and coaching from line managers and colleagues
- Industry certifications, full additional benefit program, and flexible work arrangements
About Us
Procter & Gamble was founded over 180 years ago as a simple soap and candle company. Today, we are the world's largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation, and citizenship.
We commit to provide you with equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.