Senior Data Analytics Engineer
New
T
TruelogicHospitality Tech SaaS
Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruptionFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 4+ years
- Required Skills
- SQLETLRESTful APIsData modelingBigQuery
Requirements
- 4+ years of professional experience in data engineering, analytics engineering, product analytics, or data analysis.
- Demonstrated, hands-on experience building a data warehouse or reporting database entirely from scratch.
- Strong proficiency in SQL and extensive experience structuring and managing BigQuery.
- Proven ability to build, manage, and scale ETL or ELT data pipelines.
- Deep understanding of event-based analytics and direct experience with GA4 to BigQuery exports.
- Expertise in data modeling for analytics and the ability to create reporting-ready datasets for BI tools.
- Experience working with APIs, webhooks, or scheduled data syncs to join data across multiple sources.
- Exceptional documentation, data governance, and data QA habits.
Responsibilities
- Design and build the reporting data architecture, structuring BigQuery datasets, tables, and views for scalable, multi-account, and multi-venue analytics.
- Build and manage ingestion pipelines from multiple disparate data sources, utilizing APIs, webhooks, scheduled syncs, ETL/ELT tools, or custom scripts.
- Set up and manage data exports from GA4 to BigQuery, establishing clean data relationships across all reporting entities.
- Integrate diverse data streams including Google Tag Manager, CMS platforms, email and SMS marketing tools, receipt validation services, and POS systems.
- Create clean SQL models to transform raw behavioral data and business metadata into reusable, reporting-ready tables.
- Prepare foundational data models to power automated dashboards and client-facing analytics for various BI platforms like Looker Studio.
- Establish comprehensive data quality assurance processes, validation checks, and actively monitor pipeline reliability.
- Maintain clear, thorough documentation for schemas, data flows, transformations, reporting logic, and event taxonomies.
- Partner cross-functionally with product and engineering teams to ensure tracking is implemented correctly.
View Full Description & ApplyYou'll be redirected to the employer's site
