
201 - 500 employees
💼 Consulting
🏥 Healthcare
📣 Marketing
Consulting • Healthcare • Marketing
Jusbrasil is a technology company that simplifies access to legal information. With 15 years of experience, the company aims to improve the efficiency of legal practice for thousands of justice agents across Brazil through innovative solutions. The platform serves over 1. 6 million Brazilians daily, connecting them with qualified lawyers and providing quality legal information. With a unique culture that values freedom and responsibility, Jusbrasil works to bridge the gap between individuals' rights and their enforcement.
🕒 November 6, 2025
🗣️🇧🇷🇵🇹 Portuguese Required
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201 - 500 employees
💼 Consulting
🏥 Healthcare
📣 Marketing
Consulting • Healthcare • Marketing
Jusbrasil is a technology company that simplifies access to legal information. With 15 years of experience, the company aims to improve the efficiency of legal practice for thousands of justice agents across Brazil through innovative solutions. The platform serves over 1. 6 million Brazilians daily, connecting them with qualified lawyers and providing quality legal information. With a unique culture that values freedom and responsibility, Jusbrasil works to bridge the gap between individuals' rights and their enforcement.
• Design and maintain large-scale data ingestion and transformation pipelines (batch and streaming). • Ensure data quality, reliability, and integrity across the entire lifecycle (testing, versioning, monitoring). • Implement and evolve data architecture on GCP (BigQuery, Cloud Storage, Pub/Sub, Composer). • Collaborate with Analytics, Product, and Engineering teams to define data needs and translate business requirements into technical solutions. • Contribute to the development of data engineering best practices and internal standardization of models, naming conventions, and monitoring.
• Strong experience with Python and SQL (preferably also Java or Scala). • Experience with Airflow, Airbyte, or equivalent orchestration and replication frameworks. • Knowledge of data modeling and design best practices (Kimball, Data Vault, Medallion). • Experience with GCP (BigQuery, Cloud Storage, Pub/Sub, Composer, IAM). • Familiarity with streaming (Kafka, Dataflow, or Beam) is a plus. • Experience with infrastructure-as-code (Terraform) and CI/CD pipelines. • Product-oriented mindset and cross-functional collaboration.
• N/A
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