Wikidata Platform Backend Migration Specialist

Jobgether; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A recruitment partner is seeking a Wikidata Platform Backend Migration Specialist in Brazil. This remote-first position requires skilled support for a critical migration process to a modern data system. Responsibilities include analyzing legacy queries, assisting user communities, and collaborating with technical teams. Ideal candidates will have SPARQL 1.1 experience and possess strong communication skills. Enjoy competitive compensation and the chance to impact a globally significant data platform.

Serviços

Competitive compensation

Fully remote work

Learning opportunities

Collaborative team culture

Qualificações

• Hands-on experience with SPARQL 1.1 and RDF datasets.
• Background in data platform migrations or deprecating legacy APIs.
• Ability to understand, refactor, and optimize complex queries.
• Comfort working with evolving technical requirements.
• Strong written communication skills for documentation.
• Ability to work independently across time zones.

Responsabilidades

• Analyze queries for legacy backend dependencies.
• Support query rewrites for system compatibility.
• Document patterns and provide user guidance.
• Assist the community during the migration process.
• Collaborate with teams to identify recurring issues.
• Contribute to best practices for SPARQL queries.

Conhecimentos

SPARQL 1.1

Data platform migrations

Strong written communication

Problem-solving

Collaborative support

Descrição da oferta de emprego

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Wikidata Platform Backend Migration Specialist in Brazil.

We are seeking a skilled Backend Migration Specialist to support a critical platform migration for a globally used structured data system. In this role, you will help ensure a smooth transition from a legacy backend to a modern, standards-compliant system. You will work closely with technical teams and user communities to analyze, rewrite, and document queries, minimizing disruption and maintaining high data integrity. This is a remote-first position requiring coordination across time zones, offering a mix of independent problem-solving and collaborative support. The role combines technical expertise with clear communication, providing a unique opportunity to impact a widely used data platform.

Accountabilities

• Analyze existing queries to identify dependencies on legacy backend features and non-standard behavior.
• Support query rewrites and migration efforts to ensure compatibility with the new system.
• Document canonical patterns, provide guidance to users, and maintain clear, accurate technical documentation.
• Assist developers, researchers, and community members during the migration process through direct support, office hours, and written guidance.
• Collaborate with engineering and platform teams to identify recurring issues and propose improvements.
• Contribute to best practices for writing performant, standards-compliant SPARQL 1.1 queries.

Requirements

• Hands‑on experience with SPARQL 1.1 and working with large or complex RDF datasets.
• Background in data platform migrations or deprecating legacy APIs.
• to understand, refactor, and optimize real‑world queries authored by others.
• Comfort working with incomplete information and evolving technical requirements.
• Strong written communication skills for both technical documentation and community support.
• Ability to work independently while coordinating with multiple stakeholders across time zones.
• Nice‑to‑have: familiarity with structured data platforms, experience supporting developer/researcher communities, or designing lightweight analysis tools for query patterns.

Benefits

• Competitive, equitable compensation based on skills, experience, and location.
• Flexible, fully remote work environment with collaboration across international time zones.
• Opportunities to directly impact a globally significant open knowledge platform.
• Exposure to a collaborative, international, and community‑driven team culture.
• Access to learning opportunities and technical growth within a structured data ecosystem.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.