Description & Requirements

Key Responsibilities
• Design and develop data engineering solutions primarily within Microsoft Fabric.
• Build, maintain, and optimize scalable data pipelines to ingest, transform, and deliver data from multiple sources.
• Develop and maintain Spark notebooks for data processing, transformation, and analysis.
• Work with structured, semi-structured, and unstructured data from databases, APIs, SaaS applications, and other enterprise systems.
• Develop data transformation processes using Python and T-SQL.
• Perform data cleansing, validation, aggregation, filtering, and enrichment to ensure data is accurate and fit for purpose.
• Implement data quality controls and monitoring within data pipelines.
• Troubleshoot and resolve data processing, integration, and performance issues.
• Collaborate with data architects, analysts, product owners, and other technology teams to translate requirements into scalable technical solutions.
• Support the development and maintenance of enterprise data platforms, data warehouses, and analytics solutions.




• Create and maintain technical documentation for data pipelines, processes, standards, and operating procedures.
• Follow established software development, data governance, security, and deployment standards.

Requirements
• Bachelor’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related discipline.
• Five to six years of direct professional experience in data engineering.
• Strong professional experience developing data solutions using Python.
• Strong knowledge of T-SQL and experience developing and optimizing complex queries and data transformations.
• Demonstrated experience designing, building, and maintaining data pipelines.
• Experience working with structured, semi-structured, and unstructured data.
• Experience developing data processing solutions using Spark and notebooks.
• Strong understanding of data integration, data transformation, data quality, a

📌 Data Engineer (Buenos Aires)
🏢 Baker McKenzie
📍 Buenos Aires