Senior Data Analytics Engineer – Hospitality Tech | Colombia

Added
24 days ago
Type
Full time
Salary
Salary not provided

Related skills

bigquery etl sql python apis

📋 Description

  • Design and build reporting data architecture for multi-account analytics using BigQuery.
  • Build and manage ingestion pipelines from APIs, webhooks, ETL/ELT tools, or scripts.
  • GA4 exports to BigQuery and relate accounts, venues, campaigns, tiers.
  • Integrate data streams from GTM, CMS, email/SMS, receipts, and POS systems.
  • Create clean SQL models to transform raw data into reporting-ready tables.
  • Prepare data models powering dashboards for BI tools like Looker Studio.

🎯 Requirements

  • 4+ years in data engineering, analytics engineering, product analytics, or data analysis.
  • Built a data warehouse or reporting database from scratch.
  • Strong SQL and BigQuery expertise.
  • Build, manage, and scale ETL or ELT pipelines.
  • GA4 to BigQuery exports and analytics event taxonomies.
  • Data modeling for analytics and reporting-ready BI datasets.
  • Experience with APIs/webhooks for data integration.
  • Looker Studio or similar BI/reporting platforms preferred.

🎁 Benefits

  • 100% Remote Work: Work from anywhere with reliable internet.
  • USD Pay: Competitive compensation in USD.
  • Paid Time Off: Generous PTO policy.
  • Autonomy: Manage your time and deliver results.
  • Work with Top American Companies: High-impact projects with U.S. clients.
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