data engineer for forecasting
Описание:
Procter & Gamble builds scalable forecasting solutions within its OSST Demand Planning organization, including Machine Learning solutions for forecasting and multiple web applications. The organization develops solutions across forecasting, optimization, and applied analytics domains.
Задачи:
- Lead internal and external Data Engineers, combining technical leadership with people management;
- Design, develop, and implement data solutions that acquire, transform, and optimize data from diverse sources;
- Build scalable pipelines for efficient data processing and analysis;
- Ensure data quality and integrity through data validation and cleansing processes;
- Troubleshoot data-related issues;
- Analyze and organize raw data;
- Contribute to the development of data models;
- Maintain data engineering documentation;
- Apply coding standards and best practices to create efficient and reusable services and components;
- Collaborate with Data Scientists, AI engineers, and DevOps engineers on day-to-day tasks;
- Interact with P&G IT organizations, including Architects, Platform Teams, and Data Publishers Teams.
Требования:
- Strong engineering background with Python, Spark, Databricks, Azure, SQ, Docker, Hive, and CICD;
- At least 4 years of experience in an Engineering position such as Data Engineer, Software Engineer, or DevOps;
- Proficiency in data engineering concepts, including data models and data pipelines;
- Excellent collaboration skills and comfort working within a cross-functional team;
- Demonstrated success in leadership, problem-solving, priority setting, and people management;
- English proficiency;
- At least a Bachelor's degree;
- Nice to have: pyrogAI.
Условия:
- Industry certifications, including DevOps, Professional Scrum Master, Azure Fundamental, and SAFe Agilist;
- Competitive salary and benefits program;
- Private health care;
- Life insurance;
- P&G stock options;
- Saving plans;
- Lunch subsidy;
- Sport cards;
- In-office fitness center;
- Internal coaching programs and training;
- Long-term career with development and growth opportunities.