Вакансія Middle Full Stack Golang Developer

Skills

• Golang
• Core Java
• Kotlin
• Node.js
• React.js
• SQL
• PostgreSQl
• NoSQL
• MongoDB
• Kubernetes
• EKS
• Docker
• TDD
• Iceberg
• Alteryx

Опис вакансії

Our client is a leading technology company that empowers organizations to achieve greater agility and trust in their data. They provide comprehensive solutions for data discovery and management, ensuring seamless scalability across all data types. Their platforms simplify data observability with unified business glossaries and advanced metadata management, enhancing lineage, trust, and quality.

Requirements

• Over 3 years of commercial experience in software development;
• Strong knowledge of Golang. Understanding of Java Core / Kotlin, Node.js;
• Knowledge of React.js is nice to have;
• TypeScript would be a significant plus;
• Experience with SQL(Postgres), NoSQL(MongoDB) databases;
• Knowledge of Kubernetes (EKS), Docker is required;
• Hands-on experience in implementing connectors, ideally related to Metadata, Cloud Data Governance and Catalog.
• Understanding and practical experience in testing techniques (TDD);
• English (both spoken and written) at least at Upper-Intermediate level to communicate effectively with an international team on a daily basis.
• Nice-to-have skills: Experience with Apache Iceberg, Data Lineage tools, and Alteryx (or similar platforms).

Job responsibilities

• End-to-End Catalog Extension Development: Design, develop, and implement both the back-end APIs/SDKs and the front-end interfaces to create custom solutions that extend the core capabilities of the data catalog.
• Deliver Comprehensive Catalog Solutions: Build and maintain full-stack solutions for robust search functionality, collaborative features, and self-service catalog capabilities, ensuring seamless integration between the user interface and underlying data services.
• Design & Implement Scalable Data Solutions: Architect, develop, and maintain the entire stack for scalable metadata extraction, data lineage tracking, and advanced cataloging solutions, covering both data processing logic and its presentation.
• Develop Integrated Enterprise Workflows: Create end-to-end custom workflows and automated solutions, including both front-end interactions and back-end integrations with enterprise systems, to enable data discovery, classification, cataloging, and comprehensive report generation.