Azure Data Engineer - Remote, Latin America
Remote · San Miguel, San Miguel Department, El Salvador
Job Summary
Azure Data Engineer responsible for designing, developing, and maintaining ETL data pipelines using Python (PySpark) within Azure Synapse Analytics to ensure accurate, timely data for analytics. Will extract data from REST APIs, SQL databases, and CSV files; design data warehouses using star schemas; model data with data architects; implement data quality checks; optimize pipelines for performance and meet SLAs; monitor ETL jobs and troubleshoot issues; and maintain comprehensive documentation. Collaboration with data scientists, analysts, and stakeholders is required, along with ensuring data security and compliance. Familiarity with data fabrics concepts (data lakes, lakehouses, delta lakes, data cataloging) and data visualization tools (Power BI, Tableau) is a plus; experience with Git/Azure DevOps and Agile methodologies is preferred.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience; certifications related to data engineering or data science (e.g. Azure Data Engineer) being a plus
- Proven experience in ETL data engineering with Python (PySpark)
- Experience with Azure Synapse Analytics resources including Notebooks and Pipelines
- Strong SQL knowledge (SparkSQL and MS SQL) and data integration best practices
- Experience with Git (Azure DevOps)
- Excellent communication and teamwork skills
- Familiarity with big data technologies, data visualization tools (Power BI, Tableau) and Agile methodologies
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