data engineer retail execution

Procter & Gamble; Warszawa; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Private health care

P&G stock

Saving plans

Sport cards

Hybrid work model

Job summary

Procter & Gamble ищет инженера по данным для разработки и внедрения облачных аналитических платформ и пайплайнов, сбора, очистки и публикации данных из разных источников.

Требуется опыт работы с Apache Spark, Databricks, Python и CI/CD; приветствуется знание Azure и основ ML. Гибридный формат работы, возможность работы удаленно 2 дня в неделю.

Qualifications

• Бакалавр в компьютерной науке или смежной области.

Responsibilities

• Проектирование, разработка и внедрение аналитических платформ и конвейеров данных.

Skills

Data engineering

Advanced Python

Design Patterns

FastAPI

CI/CD pipelines

Cloud operations

AI/ML concepts

Education

Bachelor's degree in Computer Science

Tools

Apache Spark

Databricks

GitHub Actions

Azure

Job description

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).