Инженер данных

Procter & Gamble produces globally recognized brands and grows the best business leaders in the industry. The company serves consumers worldwide with a strong portfolio of trusted, quality, leadership brands, including Always, Ariel, Gillette, Head & Shoulders, Herbal Essences, Oral-B, Pampers, Pantene, Tampax, and more, operating in approximately 70 countries worldwide.

• Design, develop, and implement data and analytics cloud-based analytics platforms and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources;
• Assemble large complex data sets which meet functional and non-functional business requirements;
• Partner with data asset managers, architects, and development leads to ensure a technical solution provides data which is fit for use and in line with architecture blueprints;
• Contribute to and leverage coding standards and best practices to ensure services and components are efficient and reusable;
• Identify, design, and implement internal process improvements.

• Hold a Bachelor's degree in Computer Science or a related field;
• Bring experience in data engineering, data science, or a related field;
• Demonstrate proficiency with data architecture and data processing tools;
• Hold relevant certifications such as Azure Associate Data Engineer, Databricks Professional Data Engineer, Apache Spark Developer Associate, or Professional Data Engineer;
• Have proven track record of designing and implementing ETL/ELT processes in a cloud environment, specifically Azure using Databricks;
• Possess experience developing big Power BI Tabular models and knowledge of DAX;
• Show familiarity with version control systems, particularly Git, and the GitFlow branching model for collaborative development;
• Have hands-on experience in implementing Continuous Integration and Continuous Deployment processes for data pipelines and applications;
• Demonstrate proficiency in Python and PySpark for data processing, transformation, and analysis;
• Exhibit demonstrated experience in using Databricks for data engineering tasks, including working with Delta Lake and Spark SQL;
• Nice to have: TMDL experience.

• Access to P&G-sized projects and world leading IT partners and technologies from Day 1;
• Wide range of self-development possibilities including training and certifications paths;
• Competitive starting salary and benefits program featuring private health care, P&G stock, saving plans, and sport cards;
• Regular salary increases and possible promotions in line with results and performance;
• Opportunity to change role every few years.