Data Engineer: Medallion Pipelines & Open Storage Expert

Wakapi; Departamento Capital; Presencial; ARS 106.226.000 - 166.927.000; Jornada completa

Descripción de la vacante

Wakapi is seeking a data engineer to build performant data processing pipelines, manage relational databases, and create cloud-portable data lake environments using open storage formats and embedded analytical engines. You will shape end-to-end data workflows from ingestion to analytics-ready assets.

Responsibilities include designing resilient pipelines in Python, standardizing storage with Parquet/Iceberg/Delta Lake, and leveraging DuckDB for fast local analytics within ETL processes, while

Formación

• Advanced SQL skills with strong PostgreSQL expertise.
• Hands-on experience building analytical pipelines in Python.
• Experience with open storage formats and data lake design.

Responsabilidades

• Design robust data pipelines that transform raw data into analytics-ready assets.
• Manage relational databases and optimize PostgreSQL schemas.
• Standardize storage using Parquet, Iceberg, and Delta Lake for cross-cloud compatibility.
• Build and optimize cloud-portable data lake environments.
• Leverage DuckDB within ETL workflows for fast local analytics.

Conocimientos

Advanced SQL

Python

DuckDB

Medallion Architecture

Databricks/Spark

PostgreSQL

Herramientas

PostgreSQL

SQLite

Python

DuckDB

Parquet

Iceberg

Delta Lake

Databricks

Spark

Medallion Architecture

Descripción del empleo

Wakapi is seeking a data engineer to build performant data processing pipelines, manage relational databases, and create cloud-portable data lake environments using open storage formats and embedded analytical engines. You will shape end-to-end data workflows from ingestion to analytics-ready assets.

Responsibilities include designing resilient pipelines in Python, standardizing storage with Parquet/Iceberg/Delta Lake, and leveraging DuckDB for fast local analytics within ETL processes, while