Databricks & PySpark Data Engineer — Modernization

Ascendum Solutions; Argentina; Presencial; ARS 2.400.000 - 4.200.000; Jornada completa

Descripción de la vacante

Ascendum Solutions is seeking a highly skilled Data Engineer with 7+ years of experience to design and support an enterprise data platform. The role focuses on migrating a legacy Netezza environment to Databricks to enable modern analytics for retail operations.

The candidate will build scalable PySpark data pipelines, implement data quality, testing, and CI/CD for data platforms, and collaborate with stakeholders to deliver robust, scalable solutions using Delta Lake and Medallion architecture.

Formación

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
• 7+ years of Data Engineering experience in enterprise environments.
• Strong hands-on Databricks and PySpark development.
• Experience building batch and streaming data pipelines and CI/CD for data platforms.

Responsabilidades

• Provide migration support from Netezza to Databricks.
• Design, develop, and optimize scalable PySpark data pipelines.
• Build batch and streaming ingestion frameworks for enterprise data processing.
• Maintain data solutions using Databricks Lakehouse architecture and Medallion patterns.
• Collaborate with stakeholders and mentor junior engineers.

Conocimientos

Databricks

PySpark

Data Migration

Test Automation

CI/CD

Data Quality

Medallion Architecture

Streaming & Batch

Cloud Architecture

SQL Modeling

Educación

Bachelor's degree in Computer Science / Information Systems / Engineering

Herramientas

Jenkins

Airflow

Delta Lake

Descripción del empleo

Ascendum Solutions is seeking a highly skilled Data Engineer with 7+ years of experience to design and support an enterprise data platform. The role focuses on migrating a legacy Netezza environment to Databricks to enable modern analytics for retail operations.

The candidate will build scalable PySpark data pipelines, implement data quality, testing, and CI/CD for data platforms, and collaborate with stakeholders to deliver robust, scalable solutions using Delta Lake and Medallion architecture.