Senior GCP Data Engineer

🔥 2 minutes ago

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

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

• Build and maintain data ingestion pipelines from ERP systems, quality and production systems, portals, spreadsheets, and external sources • Orchestrate pipeline extraction, scheduling, and failure handling with Apache Airflow • Implement the Medallion Architecture (Bronze, Silver, and Gold), with raw data in Cloud Storage and data modeling in BigQuery • Model business entities and shared master data, such as customers, products, and third parties • Support the semantic layer that powers dashboards • Reconcile hub data with source systems, ensuring data quality and consistency • Prepare and make Gold entities available for AI and machine learning models • Version code and manage deployments across development, staging, and production environments • Monitor pipeline execution and resolve failures, striving for operation without manual intervention • Document pipelines, data models, and technical decisions • Support client team training during the final delivery • Participate in weekly reviews and validate deliverables with business teams • Work in a multidisciplinary squad alongside architecture and data science teams to build a centralized data hub on Google Cloud for a major building materials company

🎯 Requirements

• 5+ years of experience as a data engineer working on cloud data projects • 3+ years of experience with Google Cloud, especially BigQuery and Cloud Storage • 3+ years of experience orchestrating pipelines with Apache Airflow • Strong SQL and analytical data modeling skills, with 5+ years of experience • 4+ years of experience using Python to build data pipelines • Knowledge of the Medallion Architecture (Bronze, Silver, and Gold) • Experience integrating data from multiple sources, such as ERPs, APIs, files, and spreadsheets • Experience with code version control and deployments across environments • Google Cloud certifications are a plus • Experience extracting data from enterprise ERP systems is a plus • Knowledge of tax, financial, or industrial data is a plus • Experience preparing data for machine learning models is a plus • Consulting project experience is a plus • Hands-on experience with Google Cloud (BigQuery and Cloud Storage), Apache Airflow, SQL, and Python is essential

🏖️ Benefits

• Ongoing professional development • Remote work • Commitment to the inclusion of people with disabilities (this position is also open to candidates with disabilities)