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Leega

Senior Data Engineer, dbt, GCP

Leega

Senior Data Engineer focused on data processes within GCP at Leega. Involves automation, data ingestion, and management of data workflows.

Posted 6/23/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies
AirflowBigQueryCloudGoogle Cloud PlatformMongoDBNoSQLPySparkPythonSQL

About the role

Key responsibilities & impact
  • Support and enhancement of processes in a GCP environment;
  • Development in Python;
  • Data ingestion with automated pipelines;
  • Processing and analysis of large volumes of data;
  • Simplification aimed at efficiency driven by customer needs;
  • Data- and fact-driven decision making with ownership;
  • Continuous, shared learning;
  • Create/maintain data flows and datasets;
  • Develop/model databases for dashboards and reports;
  • Document developed processes;
  • Gather and clarify database/variable requirements with the business.

Requirements

What you’ll need
  • Experience with customer master data management projects (360-degree customer view);
  • Experience with Data Services API architecture;
  • Strong knowledge of dbt (Data Build Tool), especially dbt Core;
  • dbt experience with Jinja, macros, project structure, and dbt packages/modules;
  • Advanced SQL;
  • NoSQL databases (MongoDB and similar);
  • Practical experience with data modeling;
  • Experience in Big Data projects;
  • Experience with Google Cloud Platform, especially BigQuery, Dataproc (PySpark), Dataflow, Composer/Airflow, with advanced understanding of architectures;
  • Knowledge of Python, Pub/Sub, Monitoring, Logging, Cloud Functions, and Cloud Storage;
  • Experience with Git;
  • Minimum proven experience: 5 years (required).

Benefits

Comp & perks
  • 100% Remote 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

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Hard Skills & Tools
PythonSQLNoSQLdbtdata modelingBigQueryDataprocDataflowCloud FunctionsPySpark
Soft Skills
customer needs analysisdata-driven decision makingownershipcontinuous learningdocumentation