Data Engineer (Spanish)

About the role

We are looking for a technically proficient Data Engineer (Databricks) to design, build, and maintain scalable data platforms that support business and analytics needs across multiple domains. You will develop robust data pipelines, integrate diverse data sources, ensure data quality and governance, and help continuously improve the Data & Analytics ecosystem.

Key responsibilities

• Analyze business and technical requirements and translate them into scalable data engineering solutions.
• Design, develop, test, and maintain batch and streaming data pipelines using Databricks and PySpark.
• Build and optimize ETL/ELT processes and maintain data lake and warehouse architectures on Azure and/or AWS.
• Integrate data from multiple internal and external sources while monitoring and improving data quality, reliability, and performance.
• Implement data governance, security, and access management best practices and collaborate with analysts, data scientists, and AI engineers.

Required profile

• Support business and analytics teams by designing and implementing data solutions, developing and optimizing pipelines, and ensuring enterprise data availability, quality, and reliability.
• Deliver scalable, secure, high‑performance data platforms while adhering to data governance standards, security requirements, and engineering best practices.

Required skills

• Python and PySpark for data transformation and processing.
• Databricks platform, including Delta Lake and Lakehouse architectures.
• Azure Data Services (Data Factory, Data Lake Storage, Synapse) and/or AWS data stack (S3, Glue, Redshift, EMR).
• SQL for data extraction, transformation, and validation.
• Git version control and CI/CD pipelines (Azure DevOps or similar).