Praxy is seeking a data engineering professional to build performant data processing pipelines and manage relational databases. The role involves constructing cloud-portable data lakes with open formats and embedding analytical engines for fast processing.
You will design resilient pipelines using Medallion architecture (Bronze/Silver/Gold) and leverage DuckDB with Python for localized analytics within ETL workflows. Strong PostgreSQL expertise is essential.
📌 Data Analytics Engineer: Power BI, SQL, Python (Mendoza)
🏢 Praxy
📍 Mendoza
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