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Home > Data Engineer – Senior

Empresa:

PwC Argentina

Industria:

Servicios profesionales de Auditoría y Consultoría

Descripcion:

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.

Ubicacion:

Bouchard 557, Ciudad Autónoma de Buenos Aires, Argentina
Postularse

Data Engineer – Senior

PwC Argentina

Modalidad: Hibrido

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


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