Senior Data Engineer, dbt, GCP

Job not on LinkedIn

🕒 June 23

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 30%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📣 Marketing

🔌 API

Consulting • Marketing • API

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• 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

• 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

• 100% Remote

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