The Role:

Builds performant data processing pipelines, manages relational databases, and constructs cloud-portable data lake environments using modern open storage formats and embedded analytical engines.

Responsibilities:

- Pipeline Design: Construct resilient data processing pipelines in Python using Medallion architecture principles (Bronze/Silver/Gold) to transform raw data into analytics-ready assets.
- Open Storage Management: Standardize data storage using open formats including Parquet, Apache Iceberg, and Delta Lake to ensure cross-cloud compatibility.
- Embedded Analytics: Leverage DuckDB integrated with Python for fast, lightweight, and performant localized data processing within ETL workflows.
- Database Operations:



Architect and optimize production PostgreSQL schemas while utilizing SQLite for embedded or lightweight localized storage needs.
- Distributed Compute: Scale heavy ETL, data transformation, and analytics workloads using Databricks or Apache Spark.

Requirements:

- Advanced SQL proficiency with deep PostgreSQL expertise and working knowledge of SQLite.
- Hands-on experience building robust analytical pipelines using Python and DuckDB.
- Mastery of open table and storage formats (Parquet, Apache Iceberg, Delta Lake).
- Proven track record designing data lakes using the Medallion data processing architecture.
- Familiarity with the Databricks / PySpark ecosystem for distributed processing.

📌 Remote Bi (Mendoza)
🏢 1801 Haleon Argentina
📍 Mendoza