data engineer retail execution
Summary
Data engineer designing and building cloud-based analytics platforms and pipelines for Procter & Gamble's retail execution, working with Python, Apache Spark, Databricks, and Azure in a hybrid model.
Описание
Procter & Gamble manufactures consumer goods and develops data and analytics cloud-based platforms and pipelines for business use.
Задачи
- Design, develop, and implement data and analytics cloud-based analytics platforms (DAP) and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources;
- Assemble large complex data sets that meet functional and non-functional business requirements;
- Partner with data asset managers, architects, and development leads to ensure technical solutions provide data fit for use and aligned 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.
Требования
- Bachelor's degree in Computer Science or a related field;
- Experience in data engineering, data science, machine learning, or a related field;
- Proficiency with data architecture and data processing tools;
- Proficiency in Advanced Python Programming, Design Patterns, and FastAPI;
- Practical, hands-on experience with Apache Spark and Databricks;
- Solid background in building and maintaining CI/CD pipelines, such as GitHub Actions;
- Experience in cloud environment operations and deployments, such as Azure;
- Familiarity with AI and ML concepts and frameworks;
- Nice to have: Azure Associate Data Engineer (DP-203), Databricks Professional Data Engineer, Apache Spark Developer Associate, Professional Data Engineer - Google Cloud Platform (GCP) certifications.
Условия
- Competitive starting salary and benefits program, including private health care, P&G stock, saving plans, and sport cards;
- Regular salary increases and possible promotions based on results and performance;
- Wide range of self-development possibilities, including training and certification paths;
- Opportunity to change role every few years;
- Hybrid work model with the option to work from home two days a week and time spent in the office;
- Employment is exclusively extended on the basis of "Umowa o Pracę" (Full-time Employment Contract).