Azure Data Engineer - Remote, Latin America
Remote · Saltillo, Coahuila, Mexico
Job Summary
As an ETL Data Engineer, develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks and Pipelines to ensure accurate, timely data extraction, transformation, and loading. Design and build scalable data warehousing structures, work with REST APIs, SQL databases, and CSV files, and apply data fabric concepts (data lakes, lakehouses, delta lakes, data cataloging). Collaborate with data scientists, analysts, and stakeholders to deliver high-quality data for insights, optimize pipelines for performance and SLAs, monitor and troubleshoot data flows, implement data quality checks, maintain comprehensive documentation, and ensure security and compliance. Demonstrated ability to model data, tune performance, and support cross-functional data initiatives in a fast-paced consulting environment; remote-friendly with a focus on Latin America and the US.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience
- Proven experience in ETL data engineering with Python (PySpark)
- Experience with Azure Synapse Analytics resources including Notebooks and Pipelines
- Ability to write complex SQL queries (SparkSQL and MS SQL) and optimize performance
- Knowledge of data integration best practices and tools
- Experience with version control systems (e.g., Git)
- Strong problem-solving and analytical skills; excellent communication and teamwork
- Familiarity with data visualization tools (Power BI, Tableau) and Agile methodologies a plus
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