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Quantum is a global technology partner delivering insightful & data-driven software products. In-depth expertise in Big data & emerging technologies combined with profound software engineering skills allows us to think outside the box in tackling unique business challenges.
3 червня 2022

Data Engineer (вакансія неактивна)

за кордоном, віддалено

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.

Must have skills

  • 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.

Nice to have skills

  • 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.

You will be responsible for

  • 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;
  • 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.

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