Senior Big Data Engineer

3 days ago

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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