Data Solutions Engineer: ETL, PySpark & Automation

PwC; Buenos Aires; Presencial; ARS 90.873.000 - 113.592.000; Jornada completa

Descripción de la vacante

PwC is seeking data professionals to join our team in Argentina. You will work with US stakeholders on technology-driven tax projects, focusing on data, digital transformation, automation, and analytics.

The role offers international exposure and opportunities to build expertise in data engineering, reporting, and platform modernization. Key tasks include transforming datasets, ensuring data quality, and delivering client-facing reports and dashboards.

Formación

• Proficient in Python and SQL for data workflows and reporting.
• Experience with Databricks and PySpark in large datasets.
• Knowledge of ETL design, data integration, and API workstreams.
• Familiarity with data quality, validation, and control frameworks.
• Understanding of data modeling and fresh data governance.

Responsabilidades

• Understand business reporting and information requirements.
• Analyze and interpret datasets from clients and stakeholders.
• Transform, prepare, and optimize data for internal reporting.
• Validate data quality and consistency across sources.
• Create datasets, reports, and client-facing outputs.
• Support data entry and automation on a new tech platform.
• Map and validate data within system workflows.
• Collaborate on automation and digital transformation initiatives.
• Improve tax-related processes through tech-enabled solutions.
• Develop reporting, analytics, and data visualization capabilities.
• Test applications and platform enhancements.

Conocimientos

Python

SQL

Databricks

PySpark

ETL

API integration

Relational data modeling

Medallion Architecture

Data quality

Herramientas

Snowflake

Microsoft Fabric

AWS

Descripción del empleo

PwC is seeking data professionals to join our team in Argentina. You will work with US stakeholders on technology-driven tax projects, focusing on data, digital transformation, automation, and analytics.

The role offers international exposure and opportunities to build expertise in data engineering, reporting, and platform modernization. Key tasks include transforming datasets, ensuring data quality, and delivering client-facing reports and dashboards.