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Senior Full-Stack Data Engineer (C# & Node.js & React.js)

A-listware, за кордоном
Формат:
повний remote
Рівень:
senior
Джерело:
jobs.dou.ua
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Our Customer:

A global product company in the cybersecurity domain, focused on helping organizations identify and reduce risks across modern IT environments.

Your Tasks:

Develop and maintain C# backend services, including testing, production troubleshooting and performance optimization

Build and maintain the React front end and the GraphQL API backed by Node.js and Hapi.js

Develop and optimize the TypeScript data access layer, keeping control over generated SQL and performance-critical behavior

Design and evolve Microsoft SQL Server schemas, indexes and queries, diagnosing bottlenecks through execution plan analysis

Build and maintain data ingestion and ETL pipelines with attention to data correctness, failure handling and latency

Own feature delivery from design through production across ingestion, backend logic and the customer-facing UI

Investigate customer-reported issues across the stack and carry fixes through verification

Participate in technical customer meetings, clarifying requirements and explaining findings and trade-offs

Review code and mentor engineers on the team

Improve automated testing, CI/CD, observability and overall system performance

Required Experience and Skills:

8+ years of professional software engineering experience, with substantial recent hands-on full-stack work in production

Strong practical experience developing and maintaining C# backend services in production

Proven track record of delivering and maintaining production TypeScript applications across frontend, backend and data processing

Strong practical experience with React in production applications

Strong practical experience with Node.js backend development

Hands-on experience designing and maintaining GraphQL APIs

Proven expertise in Microsoft SQL Server, including schema design, indexing, query performance analysis and tuning

Hands-on experience building and troubleshooting data ingestion, ETL or streaming pipelines

Hands-on experience working with event-level datasets

Proven ability to investigate issues across application and database layers and carry fixes through verification

Proven ability to clarify requirements, discuss technical trade-offs and communicate findings to colleagues and customers

English — Upper-Intermediate

Would Be a Plus:

Experience with real-time processing frameworks

Experience working in cloud environments

Hands-on experience with Docker or Kubernetes

Familiarity with Active Directory or Microsoft Entra ID

Understanding of identity security concepts

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