Data Engineer Associate: Analytics, Pipelines & ML

PwC México; Región Centro; Presencial; MXN 300.000 - 540.000; Jornada completa

Descripción de la vacante

PwC Acceleration Center Mexico seeks a Data Engineer - Associate to extract insights from large datasets, build data pipelines, and develop dashboards that enable data‑driven decisions for our diverse client portfolio.

You will collaborate across Advisory, Assurance, Tax and Business Services, leveraging Snowflake, Sigma, and Databricks to solve complex business problems while growing your skills in a fast‑paced environment.

Formación

• Bachelor's degree in a related area with 100% credits

Responsabilidades

• Leveraging advanced analytical techniques to extract insights from large datasets and support data‑driven decision‑making
• Developing and maintaining data pipelines to validate seamless data integration and quality
• Building and optimizing dashboards to enhance data visualization
• Applying algorithm development and machine learning techniques to improve predictive modeling
• Engaging with diverse stakeholders to gather and analyze information from multiple sources
• Ensuring data integrity and security within analytics frameworks
• Continuously learning to adapt to new challenges and enhance personal growth
• Supporting the development of data quality improvement plans to enhance data accuracy and reliability
• Collaborating with team members to drive data initiatives across departments

Conocimientos

Data visualization

Machine learning

Data analysis

Educación

Bachelor's degree

Herramientas

Snowflake

Sigma

Databricks

Descripción del empleo

PwC Acceleration Center Mexico seeks a Data Engineer - Associate to extract insights from large datasets, build data pipelines, and develop dashboards that enable data‑driven decisions for our diverse client portfolio.

You will collaborate across Advisory, Assurance, Tax and Business Services, leveraging Snowflake, Sigma, and Databricks to solve complex business problems while growing your skills in a fast‑paced environment.