Senior Data Analytics Engineer

New

BrazilFull-TimeSenior

Salary not disclosed

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Job Details

4+ years of experience in data engineering, analytics engineering, or data-focused roles.
Mandatory experience building a data warehouse or analytics database from scratch.
Strong proficiency in SQL and hands-on experience with BigQuery.
Proven track record of building and scaling ETL/ELT pipelines.
Deep understanding of GA4, event-based analytics, and data modeling for reporting.
Experience integrating multiple data sources via APIs, webhooks, or scheduled sync processes.
Strong documentation practices and attention to data governance and quality assurance.
Experience with BI tools such as Looker Studio or similar reporting platforms is highly valued.
Familiarity with Python or cloud-based scripting tools is a plus.
Exposure to hospitality, retail, SaaS analytics, or multi-tenant reporting environments is an advantage.

Design and build scalable data warehouse architecture using BigQuery, including datasets, tables, and reporting views.
Develop and maintain ETL/ELT pipelines to ingest and unify data from APIs, webhooks, scheduled syncs, and third-party tools.
Implement and manage GA4 exports into BigQuery, ensuring clean alignment across accounts, campaigns, venues, and subscriptions.
Integrate multiple data sources such as CMS platforms, marketing tools, POS systems, and behavioral tracking systems.
Create optimized SQL models to transform raw data into structured, reporting-ready datasets for BI tools.
Establish data validation, monitoring, and quality assurance processes to ensure pipeline reliability.
Document data architecture, schemas, transformations, and business logic to support scalability and collaboration.
Partner with cross-functional teams to ensure accurate tracking implementation and privacy-conscious data handling.

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