Senior Data Engineer

• Develop, maintain, and enhance data ingestion, transformation, and persistence pipelines
• Integrate data sources and organize information in the Data Lake
• Contribute to the evolution of data processing workflows, with a focus on reliability, performance, and maintainability
• Collaborate on data governance, cataloging, and data flow documentation practices
• Support data availability for consumption by applications and analytics initiatives
• Work closely with technical and business teams to understand requirements and propose solutions

• Strong experience in Data Engineering and pipeline development
• Experience working with cloud data environments and Data Lake architectures
• Experience integrating, processing, and persisting data
• Knowledge of data governance, quality, and organization practices
• Strong technical analysis, problem-solving, and collaboration skills
• Experience with Databricks (a plus)
• Experience with AWS and/or Azure (a plus)
• Knowledge of data catalog tools (a plus)
• Familiarity with Data Mesh concepts and federated governance (a plus)
• Experience making data available for BI and Machine Learning solutions (a plus)

• Work arrangement: 100% remote
• Duration: Indefinite
• Start date: Immediate