
501 - 1000 employees
🎯 Recruiter
🤝 B2B
Recruitment • B2B
Sur Global is a nearshore talent solutions provider that helps companies find and hire top remote professionals from Latin America. Positioning “E-Migration” and nearshoring as the future of work, Sur Global focuses on reducing operating costs and increasing productivity by sourcing sales, engineering, marketing, and customer success talent across countries like Brazil, Mexico and Argentina. They serve businesses looking to scale operations with LATAM remote teams and emphasize measurable ROI from nearshore hiring.
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501 - 1000 employees
🎯 Recruiter
🤝 B2B
Recruitment • B2B
Sur Global is a nearshore talent solutions provider that helps companies find and hire top remote professionals from Latin America. Positioning “E-Migration” and nearshoring as the future of work, Sur Global focuses on reducing operating costs and increasing productivity by sourcing sales, engineering, marketing, and customer success talent across countries like Brazil, Mexico and Argentina. They serve businesses looking to scale operations with LATAM remote teams and emphasize measurable ROI from nearshore hiring.
• Serve as the primary operator of the GCP data environment: BigQuery, Cloud Functions, Cloud Scheduler, and Cloud Storage, in close partnership with IT on security and access • Write and maintain Python-based ETL pipelines pulling from source platforms (Toggl, Rippling, Xero, Salesforce, and others) and landing data in BigQuery • Extend the pipeline portfolio to bring new data sources online and unlock reporting capabilities that do not currently exist • Automate recurring operational workflows currently running manually or locally: scheduled data quality checks, automated exports, and replacing one-off scripts with reliable GCP functions • Own the full Tableau dashboard portfolio across all internal teams: data connections, SQL, refresh schedules, QC, documentation, and bug resolution • Build net-new dashboards for audiences that don't have reliable reporting today, including executive, director, and operational views covering project financials, service line performance, and renewal visibility • Own data integrity within the analytics layer: diagnose whether issues are pipeline problems, dashboard logic problems, or source data issues, and route accordingly • Maintain naming conventions, schema documentation, and dataset organization in BigQuery • Be the first point of contact when a dashboard breaks or a pipeline fails — own resolution, not just escalation • Partner with stakeholders across Business Operations, Finance, People & Talent, Sales, and IT to translate business needs into working data solutions
• 5+ years of experience in Business Intelligence, Analytics Engineering, Data Engineering, or a hybrid of both • Hands-on GCP experience: BigQuery (primary), Cloud Functions, Cloud Scheduler, and Cloud Storage — GCP is the operating environment and non-negotiable • Strong Python development experience building and maintaining ETL pipelines; must write Python regularly, not occasionally • Advanced SQL skills with experience querying cloud data warehouses and troubleshooting data quality issues • Tableau proficiency: has built dashboards from scratch, not just consumed or made minor modifications to existing ones • Experience maintaining production reporting environments and troubleshooting data pipelines end-to-end • Familiarity with Git/GitHub version control workflows • Strong ability to diagnose data problems across pipeline, dashboard, and source system layers independently • Strong communication skills: able to explain technical data concepts to non-technical stakeholders across multiple business functions • Experience using AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, Codex, or similar) — Avicado is an AI-first company and AI usage is embedded in team culture • English at B2 level or above; must be able to communicate clearly in a professional English-speaking environment.
• PTO: Unlimited PTO
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