— 3+ years of solid experience working with Python;
— Extensive knowledge of Kafka and Spark Streaming;
— Strong experience working with AWS;
— English level: Upper-Intermediate and higher.
— University or advanced degree in engineering, computer science, mathematics, or a related field;
— Strong experience working with a variety of relational SQL and NoSQL databases;
— Experience in setting up, maintaining and optimizing databases for production usage in reporting, analysis and ML applications;
— Relevant working experience with Docker and Kubernetes preferred;
— Experience with cloud deployments (AWS, GCP).
— Exchange of experience, professional development;
— A strong team, a healthy atmosphere;
— Flexible working time;
— 20 days paid vacation;
— Paid sick leave;
— Remote work;
— English lessons and massage service in the office (partially paid by the company);
— Opportunity to take part in conferences, meetups etc. (fully or partially paid by the company);
— Regular company events.
— Make architecture for production solutions;
— Automated collection of data from various sources;
— Creation and support of pipelines for regular and continuous delivery of data;
— Implementation of integrations with sections;
— Review architecture and suggest solutions for improvement;
— Preparation and visualization of data for the work of analysts;
— Data quality control;
— Detect and solve performance issues on architectural, design and code levels.
Quantum is a data analytics and software engineering company with an international presence and R&D centers in Ukraine. We serve large software companies and quickly growing startups all over the world, investing in our clients’ competitive advantages and capacity using cutting-edge technologies.
We are opening a position for a Data Engineer to expand our team. You will be working on areas related to virtualization, data analysis, medicine and image processing. Also you can take part in our R&D projects, put forward ideas or participate in the development.