Position: Data Engineer
Company: Quantum
Category: Data Engineer
Experience required: 3y
English level: upper

**Life with Quantum is more than just project delivery. See for yourself.**
Quantum is a data analytics and software engineering company with an international presence and R&D center. We are looking for progressive solutions to real problems, leaving the comfort zone. This allows us to remain the leaders of the Big Data market.
You will be a part of the company and surrounded by experts who are ready to move forward professionally.

**About the project**
Our client is a digital transformation, cognitive computing, artificial intelligence software company. Their product is a highly scalable and customizable platform that serves as an AI Operating system. This system is used for a wide range of capabilities such as business intelligence, decision making, forecasting, and situational awareness. The product also contains cognitive computing applications configured for specific industries and business functions.

**Skills and qualifications**
— A strong predilection for good software and the processes that make it;
— 3+ years of experience as a Data Engineer working in Python;
— Good working SQL knowledge and experience working with relational databases, as well as working familiarity with a variety of databases;
— A successful history of manipulating, processing, and extracting value from large datasets;
— Experience building and optimizing data pipelines & architectures;
— Strong analytical skills related to working with structured datasets;
— 4+ years of experience with AWS or other public cloud platforms (GCP, Azure, etc.) and corresponding data tools (e.g. AWS Athena, etc.);
— Excellent verbal and written communication skills for effective communication in a multicultural environment with teams spread throughout the world.

**Would be a plus**
— Experience managing and building data pipelines with private dumps of large knowledge bases such as Wikidata;
— Experience with Big Data processing tools;
— Experience with NLP and Machine Learning product development;
— Familiarity with Knowledge Engineering, Graph technologies & Graph databases, Knowledge Graphs.

**Responsibilities**
— Design and build effective, user-friendly data pipelines, tooling, and automation to accelerate Machine Learning;
— Collaborate with ML teams to drive the data infrastructure roadmap;
— Support the company’s internal ML teams with data engineering best practices;
— Build complex automated data pipelines for creating datasets for ML products, facilitate efficient data management;
— Build data extraction & scraping pipelines for creating datasets from open web data;
— Help establish standards, practices for managing ML teams’ data infrastructure;
— Write clean and tested code that can be maintained and extended by fellow engineers.

**We offer**
— Exchange of experience, professional development;
— A strong team, a healthy atmosphere;
— Flexible working time;
— 20 days paid vacation;
— Paid sick leave;
— Paid remote work;
— 8-hour working day and 5-day working week;
— Opportunity to take part in conferences, meetups, etc. (fully or partially paid by the company);
— Regular company events.