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Data Migration Engineer Id18324

Detalles de la oferta

What you will do

Serve as an expert and go-to person for graph optimization problems;

Supervise safe, accurate, and efficient transfer of job chains from competitive systems to Redwood products;

Work with schema on read problems (given XML, JSON, etc.) to create a solution that maps a reader to that schema, translates to an internal standard schema for a standard set of objects, and that feeds into the chain generator;

Collaborate with cross-functional teams to align data migration with business goals and technical requirements.

Must haves

Expert knowledge in Graphs Theory (5+ years of professional experience);

Graph Algorithms (analyze graph structures and uncover meaningful patterns. Topics such as breadth-first search, depth-first search, shortest path algorithms, centrality measures, and community detection algorithms for exploring relationships and characteristics within graphs);

Graph Visualization: Visualization techniques, including force-directed layouts, hierarchical layouts, and matrix representations;

Graph Database Technologies: Graph database technologies, such as Neo4j, Amazon Neptune, or Microsoft Azure Cosmos DB;

Knowledge of one of the following programming languages: Java, Python;

Proficient in version control software such as Git, Mercurial or SVN;

Proficient in using software collaboration tools such as TFS or JIRA;

Working knowledge of various databases (MySQL, MSSQL, Oracle, Postgres);

Working knowledge of various operating systems (Windows, Linux);

Working knowledge of integrating with RESTful services using JSON;

Upper-intermediate English level.

Nice to haves

Practical experience in one of the domains: related to graph analytics: e.g. social network analysis, fraud detection, recommendation systems, supply chain optimization, cybersecurity;

Basic understanding of Scrum methodology;

Experience with cloud-based services including AWS and Azure.

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Salario Nominal: A convenir

Fuente: Allthetopbananas_Ppc

Requisitos

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