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  • Data Engineer

    • 12.07.2021
    • On-Demand Revenue Growth Management Platform
    • Remote

    Oleksandr Telcharov

    Personal recruiter

    E-mail Skype

Our client - a young company, which combines Big Data and Artificial Intelligence to create a smart “Digital Assistant” capable of dramatically enhancing Revenue Growth Management initiatives - is now looking for a Data Engineer to join their team remotely.


By joining the team, you will be part of a visionary team of Trend-challengers, reimagining the way Revenue Growth Management is being utilized in global organizations. Also, you will be at the forefront of learning and applying the hottest technologies:

  • Global organization strategy;
  • Revenue management;
  • Artificial intelligence;
  • Intelligent assistants;
  • Big Data, data & analytics, and predictive analytics.


  • Understanding business challenges around the Revenue management space;
  • Identification, an organization, and ingestion of data, spread across multiple sources (operational, analytical, and reporting);
  • Analyze and organize raw data;
  • Build data systems and pipelines in collaboration with stakeholders and team members to analyze user needs and develop data integration solutions;
  • Evaluate business needs and objectives and adhere to data architecture strategy, best practices, standards, and roadmaps;
  • Conduct data assessment, perform data quality checks, transform and load raw data using SQL and ETL tools.  Your work will contribute to the overall implementation of product solutions;
  • Interpret trends and patterns;
  • Conduct complex data analysis and report on results;
  • Prepare data for prescriptive and predictive modeling;
  • Build algorithms and prototypes;
  • Technical capability to develop and implement data identification, ingestion, and integration solution Explore ways to enhance data quality and reliability;
  • Identify opportunities for data acquisition;
  • Develop analytical tools and programs;
  • Collaborate with data scientists and architects on several projects.


  • 2+ years of experience as a data engineer or in a similar role;
  • Technical expertise with data models, data mining, and segmentation techniques;
  • Knowledge of programming languages (e.g. Java and Python);
  • Pyspark and DataBricks knowledge and experience;
  • Hands-on experience with SQL database design;
  • Great math and analytical skills.


  • Great team culture;
  • Opportunities for professional growth and career;
  • Flexible working schedule, 40 hours per week;
  • Remote work;
  • Paid courses, trainings, conferences;
  • 21-days paid vacation, paid sick leave.

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