Toptal is seeking a data engineering professional to design resilient ETL pipelines and standardized data lakes. You will implement Medallion architecture, leverage Parquet/Iceberg/Delta formats, and perform embedded analytics with Python and DuckDB.
You will optimize PostgreSQL schemas and support lightweight SQLite storage, while enabling distributed processing with Databricks or Spark in a cross-cloud setup.
📌 Data Pipelines Architect (Quilmes)
🏢 Toptal
📍 Quilmes
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