Healthcare Data Engineer: Medallion Pipelines & Formats

Atomic Hr; Ciudad de Mendoza; Vor Ort; ARS 1.800.000 - 3.200.000; Vollzeit

Zusammenfassung

1801 Haleon Argentina S.A. is seeking an experienced data engineering professional to build resilient data pipelines and manage cross-cloud data lake environments using open storage formats.

You will deploy Python-based ETL workflows, integrate DuckDB for localized analytics, and design scalable PostgreSQL schemas while leveraging SQLite for embedded storage. The role emphasizes Medallion architecture, open formats (Parquet, Iceberg, Delta Lake), and distributed processing with Databricks or

Qualifikationen

• Advanced SQL proficiency with PostgreSQL expertise and SQLite knowledge.

Aufgaben

• Design data pipelines in Python using Medallion architecture to transform raw data into analytics-ready assets.
• Standardize storage with Parquet, Iceberg, Delta Lake for cross-cloud compatibility.
• Use DuckDB with Python for fast local analytics in ETL workflows.
• Architect and optimize PostgreSQL schemas; use SQLite for embedded storage.
• Scale ETL and analytics with Databricks or Apache Spark.

Kenntnisse

Advanced SQL

PostgreSQL

Python

DuckDB

Medallion architecture

Databricks PySpark

SQLite

Open formats Parquet

Iceberg

Delta Lake

Tools

DuckDB

Databricks

PySpark

PostgreSQL

SQLite

Parquet

Iceberg

Delta Lake

Jobbeschreibung

1801 Haleon Argentina S.A. is seeking an experienced data engineering professional to build resilient data pipelines and manage cross-cloud data lake environments using open storage formats.

You will deploy Python-based ETL workflows, integrate DuckDB for localized analytics, and design scalable PostgreSQL schemas while leveraging SQLite for embedded storage. The role emphasizes Medallion architecture, open formats (Parquet, Iceberg, Delta Lake), and distributed processing with Databricks or