Senior Data Engineer, GCP

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.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

• Work remotely on a project for a company in the retail sector. • Design, build, and maintain data ingestion and transformation pipelines using GCP services. • Model and maintain analytical structures in cloud-based Data Warehouses and Data Lakes. • Orchestrate and monitor data workflows, ensuring reliability, performance, and traceability. • Optimize queries, processes, and costs in the cloud data environment. • Ensure data quality, consistency, and governance throughout the entire data lifecycle. • Support analysts, data scientists, and business teams in consuming data platforms. • Document solutions and engineering best practices adopted in the project. • Serve as a technical reference, supporting less experienced professionals. • Transform raw data into reliable, scalable datasets that support business and analytics teams.

🎯 Requirements

• Bachelor’s degree in Information Technology, Engineering, Statistics, or a related field. • At least 5 years of experience in data engineering. • At least 3 years of experience working with GCP in production environments. • Strong knowledge of GCP data services, such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Cloud Storage. • Advanced SQL skills for analytical queries and data transformation. • Experience with Python for developing data pipelines. • Experience with data modeling for Data Warehouses and Data Lakes. • Experience orchestrating pipelines using Airflow or a similar tool. • Google Cloud certification, such as Professional Data Engineer (a plus). • Experience with Terraform or another infrastructure-as-code tool (a plus). • Experience with CI/CD applied to data pipelines (a plus). • Experience working on data projects in the retail sector (a plus). • Experience in consulting environments serving multiple clients (a plus). • GCP, with a focus on data services and BigQuery. • SQL and Python.

🏖️ Benefits

• Ongoing training and investment in professional development. • Remote work. • This position is also open to people with disabilities.