Mid-Level GCP Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

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

• Develop and maintain scalable, efficient data pipelines (ETL/ELT) • Handle data ingestion, transformation, and delivery in GCP environments • Build solutions using Databricks (Spark/PySpark) • Design and evolve data architectures (Data Lake, Data Warehouse, Lakehouse) • Integrate diverse data sources (APIs, databases, streaming) • Ensure data quality, governance, and reliability • Monitor performance and optimize cloud costs • Collaborate with BI, Analytics, and Data Science teams

🎯 Requirements

• At least 4 years of experience as a Data Engineer • Hands-on experience with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, or similar services) • Experience with Databricks and distributed processing with Spark • Proficiency in Python and SQL • Experience with data modeling (relational and dimensional) • Experience orchestrating pipelines (Airflow or similar tools) • Knowledge of code version control (Git) • Experience with Delta Lake • Knowledge of infrastructure as code (Terraform) • Experience with Docker • Knowledge of data streaming (Kafka, Pub/Sub) • GCP or Databricks certifications • Experience with Lakehouse architecture • Knowledge of BI tools (Power BI, Looker, Tableau) • Familiarity with data governance and Brazil's General Data Protection Law (LGPD) • Intermediate or advanced English

🏖️ Benefits

• Ongoing professional development • 100% remote work • Position also open to people with disabilities