Data Engineer

Ukraine and Russia /
Delivery – EM-Yulia Mikhaylina /
At Provectus, we are obsessed with technologies that impact the future of the whole of humanity. Just imagine: AI for curing eye diseases, ML for making factories safe for workers, preventing pandemic spreading, etc. It’s not about the future, it’s about the products we’ve already developed with #ProvectusTeam.

Join us if you have the same passion for making products using AI/ML technologies, cloud services, and data engineering.
Join us if you value a friendly corporate environment, and almost a family-driven approach to every employee.
Join us if you want to grow professionally and ready for learning new things constantly.

As a Data Engineer, you’ll be provided with all opportunities for development and growth.

What is required:

    • Strong experience with programming languages like Java SE/EE and/or Groovy and Spring (Core, Web, Boot, Data) as Engineer with 2-4 years of relevant software development experience;
    • Hands-on experience with Spark programming and another Big data tech in the Hadoop ecosystem (Data likes: AWS EMR (Hadoop, Spark, Presto));
    • Build tools: Maven/Ant/Gradle;
    • CSM: Git, Github;
    • Wiki and track bugs systems: JIRA, Confluence;
    • OS: Unix/Linux.

    • Qualifications / Skills:
    • Knowledge of best practices and IT operations in an always-up, always-available service;
    • Experience with or knowledge of Agile Software Development methodologies;
    • Excellent problem solving and troubleshooting skills;
    • Process oriented with great documentation skills;
    • Excellent oral and written communication skills with a keen sense of customer service.

Will be a plus:

    • Good understanding of distributed data processing concepts like data partitioning, bucketing, distributed joins and aggregation, map/reduce, file formats, etc;
    • Second programming language can be Python;
    • Other data likes: Dremio;
    • Other brokers: Kafka/RabbitMQ/Apache MQ (or other AMQP broker);
    • Familiarity with clouds (AWS is in main priority).

What we offer:

    • We offer you attractive professional and educational opportunities, a competitive salary, and fun colleagues who make every online and offline event a treat.
    • Find out more about our company:
    • Some details about our office spaces:​mpanies/provectus/photos


    • Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
    • Collaborates with analytics to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the project.
    • Writes unit/integration tests.
    • Contributes to engineering wiki, and documents work.
    • Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
    • Works closely with a team (other engineers, product managers, and analysts).
    • Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
    • Designs data integrations and data quality framework.

Briefly about us:

    • Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI. We are recognized by industry analysts as a leading provider of AI solutions in specific business domains, driven by sophisticated IT service management and tech innovation. Provectus is a value driver and a trusted partner for our clients and employees.

    • We are waiting for you to become a part of our team!