7 авг

Data Engineer

ориентир по рынку
вакансия зп не указана
в среднем 206 138 ₽
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описание

GROPYUS is a technology-based construction company that builds multi-story residential buildings through prefabricated timber construction, industrial offsite construction, and fully digitalized processes. It develops scalable construction and manufacturing solutions for sustainable and affordable housing.

задачи

  • Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers;
  • Own and improve data reliability through monitoring, alerting, SLAs, and data quality checks;
  • Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets through managed data pipelines;
  • Contribute to initiatives that modernize or scale the data ecosystem, including query optimization, schema design, and analytics;
  • Follow development best practices through documentation, testing, and validation;
  • Resolve issues related to pipeline health, platform features, and testing for prevention and handling;
  • Create, operate, and scale data-intensive reactive processing pipelines end to end, including ingestion, storage, and orchestration;
  • Follow best-practice guidelines in data and software engineering, including monitoring and observability.

требования

  • Experience with programming languages such as Python or Kotlin;
  • Experience with databases such as Postgres, BigQuery, and graph databases;
  • Experience with Kubernetes, Docker, Terraform, Dagster, and DBT;
  • Experience with Azure DevOps for CI/CD;
  • Experience with Grafana and Honeycomb for observability and monitoring;
  • Ability to complete work as directed with guidance from senior engineers or leadership;
  • Experience creating, operating, and scaling data-intensive reactive processing pipelines end to end;
  • Experience following best practices in data and software engineering, including monitoring and observability;
  • Nice to have: Machine Learning and AI agents, database administration.

условия

  • Flexible choice between working from home, a park, or the office;
  • Stock options;
  • International teams and colleagues from diverse professional backgrounds.

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