6 дней назад
Senior Data Engineer - Superior Retail Execution
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer - Superior Retail Execution (Python, Apache Spark, Databricks): Building complex data sets and reusable data services for retail execution with an accent on data architecture, advanced Python, and cloud deployments. Focus on designing scalable data processing solutions, implementing CI/CD pipelines, and integrating AI and ML concepts across enterprise IT programs.
Location: Warsaw, Poland; hybrid work model with the option to work from home two days per week and regular office engagement.
Company
Procter & Gamble is a global consumer goods corporation operating across approximately 70 countries with a portfolio of recognized household and personal care brands.
What you will do
- Assemble large, complex data sets that meet functional and non-functional business requirements.
- Partner with data asset managers, architects, and development leads to deliver fit-for-use data aligned with architecture blueprints.
- Apply coding standards and best practices to build efficient, reusable services and components.
- Identify, design, and implement internal process improvements.
- Lead the delivery and transformation of business outcomes through IT across major services, products, or programs.
Requirements
- Bachelor’s degree in Computer Science or a related field.
- Experience in data engineering, data science, machine learning, or a related field.
- Advanced Python programming, design patterns, FastAPI, data architecture, and data processing tools.
- Hands-on experience with Apache Spark and Databricks.
- Experience building and maintaining CI/CD pipelines, cloud operations, and deployments in environments such as Azure.
- Experience across at least two IT job profiles, including influencing or managing people or organizations to achieve significant IT outcomes.
Nice to have
- Familiarity with AI and ML concepts and frameworks.
- Certifications such as Azure Associate Data Engineer DP-203, Databricks Professional Data Engineer, Apache Spark Developer Associate, or Professional Data Engineer for Google Cloud Platform.
Culture & Benefits
- Access to large-scale projects, IT partners, and modern technologies.
- Training and certification development paths.
- Private healthcare, company stock, saving plans, and sport cards.
- Regular salary increases and potential promotions based on results and performance.
- Opportunities to change roles every few years within the organization.
- Employment is exclusively offered under an Umowa o Pracę full-time employment contract.
Hiring process
- The recruiting process includes multiple stages; detailed process information is provided by the employer.
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