• We will be happy to welcome new team members who are not afraid of non-trivial tasks, can offer non-standard technical solutions, and take initiative
• 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

Desirable

• We are inviting a Senior Big Data Engineer to join our product team that is creating a next-generation eCommerce intelligence service for retailers and manufacturers
• We are developing new products to allow our customers to track the on how their products perform online at the different retailers in various locations. It is a kind of system, where we are collecting, processing, and presenting a big amount of data to the customer
• It is being developed using Snowflake, Airflow/Spark technologies and hosted in GCP. In our current solution we are processing billions of rows daily and storing it in DataMarts
• 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