• Java
  • Java
  • Sql
  • Spark
21.09.22

Про роботу

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 lakes: 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: provectus.com.


Responsibilities:

  • 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!


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