Senior Data Engineer
November 6
🗣️🇧🇷🇵🇹 Portuguese Required
đź“‹ Description
• 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.
🎯 Requirements
• 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.
🏖️ Benefits
• N/A
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