Azure Data Engineer - Remote, Latin America
Remote · Iquitos, Loreto, Peru
Job Summary
Azure Data Engineer with a focus on ETL in a remote Latin America context, responsible for designing, developing, and maintaining data integration processes using Python (PySpark) within Azure Synapse Analytics Notebooks and Pipelines. Build and optimize data warehouses (MPP SQL-based), extract data from REST APIs, SQL databases, and CSV files, and ensure data quality, performance, and governance. Collaborate with data scientists, analysts, and stakeholders to deliver reliable data for insights, implement scalable data models, monitor ETL pipelines, and maintain thorough documentation. Proficiency in SQL (SparkSQL/MS SQL), Azure Key Vault, version control (Git/Azure DevOps), and visualization tools (Power BI/Tableau) is valued; Agile methodologies and strong communication are a plus.
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
- Strong SQL skills (SparkSQL and MS SQL)
- Experience extracting data from REST APIs, SQL databases, and CSV files
- Knowledge of data integration best practices and tools
- Experience with Git (Azure DevOps) or similar version control
- Excellent communication and collaboration skills
- Familiarity with big data technologies, machine learning, and data analysis preferred
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