Senior Big Data Engineer

December 8, 2024

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Profitero

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Profitero is a leading provider of eCommerce insights and analytics, helping global brands optimize their digital shelf performance across over 1,200 retailers in 70+ countries. The company offers tools such as Shelf Intelligent Media, Autopilot, and Ask Profitero, an AI assistant to help businesses understand and leverage their data quickly. Profitero's comprehensive solutions enable organizations to analyze, measure, and enhance product positioning, pricing, and availability, particularly on platforms like Amazon. The company is ranked as the #1 Digital Shelf Provider, emphasizing data-driven decision-making to accelerate profitable growth.

eCommerce Analytics • Retail Media • Pricing & Promotion Data • Competitor Price Intelligence • Brand MAP Monitoring

501 - 1000 employees

🛍️ eCommerce

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Design and build scalable and resilient Data & Analytics solutions • Integrating solutions with other components of the system • Design and development of Data pipelines • Designing data models • Engaging in proof of concepts and experiments • Participate in overall testing and production maintenance • Leading development process from the beginning to the end • Presenting end results to stakeholders • Working closely with the Architecture team to influence new technologies choice • Improve existing data pipelines by using data engineering best practices

🎯 Requirements

• Strong knowledge of Python with a minimum of 2+ years of practical experience • 5+ years experience in Data Engineering • Strong knowledge of Apache Spark and Airflow • Strong knowledge of SQL • Working experience in an Agile environment • Solid understanding of data models and data pipeline design • Experience developing solutions in a Cloud environment • A natural interest in modern data processing technologies and the ability to learn new things • Passion to get into the development processes quickly and deliver good quality code • Ability to work without supervision • English level B2+ or higher • Nice to have: Experience with Snowflake • Understanding of distributed architecture • Understanding of CI/CD and DevOps methodologies • Experience working in the containerized environment (Docker, Kubernetes) • Experience in implementing projects & solutions using GCP Stack (GCS, Data Proc, Composer and etc)

🏖️ Benefits

• Vacation (20 working days per year, 100% paid) • Health insurance reimbursement (up to 250 USD gross per year) • Paid sick leave (80% of the daily base salary) • 4 days for recovery without a sick leave document during the year (80% of the daily base salary) • Individual sports activities reimbursement (50% of the check, up to 45 USD gross max per month) • English classes reimbursement (100% of the check, up to 57 USD gross max per month) • Professional development opportunities are reimbursed by the company • Team-building activities