Este aviso ha finalizado
Empresa:
PwC ArgentinaIndustria:
Servicios profesionales de Auditoría y ConsultoríaDescripción:
En PwC Argentina ofrecemos servicios de Assurance, Asesoramiento Impositivo y Legal, Advisory y Global Outsourcing Services. A nivel global, somos más de 370,000 talentos en 149 países trabajando en equipo, conectando conocimientos y experiencias para desarrollar nuevas perspectivas y brindar asesoramiento práctico. A nivel local, desde 1913 lideramos el mercado argentino con oficinas distribuidas en Buenos Aires, Córdoba, Mendoza y Rosario. Nuestra misión es ser una organización líder en servicios profesionales, basada en valores y comportamientos esperados: actuamos con integridad, hacemos la diferencia, nos interesamos, trabajamos juntos y re imaginamos lo posible.Ubicación:
Bouchard 557, Ciudad Autónoma de Buenos Aires, ArgentinaData Engineer – Senior
PwC Argentina
Modalidad: Hibrido
Ubicación: Ciudad Autónoma de Buenos Aires, Argentina
Tipo de jornada: Full time
- Design, develop, and maintain scalable data pipelines and systems using Databricks and Python.
- Architect and implement data solutions leveraging the Microsoft stack (Azure, SQL Server, etc.).
- Collaborate with cross-functional teams to understand business requirements and deliver data-driven insights.
- Optimize and enhance data processing capabilities using Docker for containerization.
- Ensure data quality, integrity, and security across various systems and platforms.
- Troubleshoot and resolve data-related issues in a timely and efficient manner.
- Stay updated with the latest industry trends and incorporate best practices into the data engineering processes.
- Design, implement, and optimize ETL/ELT workflows using Azure Databricks and Python.
- Handle ingestion and transformation of structured, semi-structured, and unstructured data into Azure Data Lake or Synapse Analytics.
- Develop scalable solutions for batch and real-time data processing.
- Contribute to the architecture of modern data platforms leveraging Azure components such as Azure Data Factory, Data Lake, and Synapse Analytics.
- Expertise in SQL for querying and performance tuning.
- Familiarity with CI/CD tools like Azure DevOps or GitHub Actions.
- Understanding of data governance tools such as Azure Purview.
- Knowledge of data visualization tools (e.g., Power BI) is a plus.
- Experience with Big Data tools and streaming technologies (Kafka, Event Hub) is desirable
