BUX
21 авг

data engineer in fintech

ориентир по рынку
вакансия зп не указана
в среднем 111 513 ₽
Загрузи резюме, чтобы видеть мэтчи с вакансией

подготовьтесь к отклику

ai-инструменты

Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузите резюме

описание

BUX is a fintech company making investing accessible and affordable through an intuitive app. Its Data & AI team builds scalable tools and high-quality data products to support data-driven product decisions and business growth.

задачи

  • Build and maintain robust data ingestion scripts for APIs, servers, and files, including retries, incremental and idempotent loads, and graceful error handling;
  • Build and maintain dbt staging and mart models with clear naming, documentation, and automated tests;
  • Extend and troubleshoot Airflow workflows by adding tasks to existing DAGs and fixing failed runs;
  • Add and monitor data quality checks for freshness, volume anomalies, nulls, and duplicates;
  • Investigate data discrepancies reported by stakeholders;
  • Write clean code and maintain useful READMEs;
  • Use AI-assisted development tools to accelerate drafting while verifying correctness before production deployment;
  • Build ownership of data modelling, testing, and pipeline reliability as a foundation for broader engineering responsibilities.

требования

  • 1–2 Years of experience in data engineering, analytics engineering, or a closely related discipline;
  • Collaborative problem-solving experience;
  • Solid Python and SQL fundamentals;
  • Experience with Git, basic automated tests, and HTTP APIs;
  • General understanding of cloud architecture and infrastructure concepts;
  • Hands-on experience with dbt, including staging and mart layers, sources, tests, and documentation;
  • Understanding of workflow orchestration, Airflow, DAGs, task dependencies, scheduling, retries, and idempotency;
  • Experience with relational databases or data warehouses such as Postgres or Snowflake;
  • Ability to write queries, design schemas, and handle data quality issues;
  • Curiosity, openness to asking for help, and willingness to receive constructive feedback;
  • Ability to rigorously test and verify logic, including AI-assisted code, before deployment;
  • Nice to have: Docker, Kubernetes (GKE), Terraform, Kafka, Pub/Sub, GCS, S3, continuous integration pipelines, GitHub Actions.

условия

  • Benefits and perks are available.

Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайтесь: это мошенничество.

Про зарплаты

Анонимные данные по зарплатам и грейдам.
Можно сверить вилку с рынком.

Посмотреть зарплаты

Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайтесь: это мошенничество.