Azure Data Engineer - Remote, Latin America
Remote · San Jose, Provincia de San José, Republic of Costa Rica
Job Summary
Azure Data Engineer – Remote, Latin America: Design, develop, and maintain ETL data pipelines using Python (PySpark) within Azure Synapse Analytics to ensure accurate, reliable data for analytics. Build scalable data warehousing solutions, integrate data from REST APIs, SQL databases, and CSV files, and implement data quality checks. Collaborate with data scientists and analysts to deliver high-quality data, optimize performance, and document data flows. Role emphasizes data modeling, data fabric concepts, data governance, security/compliance, and proactive monitoring in a remote, Latin America-based consultative environment.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field or equivalent work experience
- Significant experience in ETL data engineering using Python (PySpark)
- Experience with Azure Synapse Analytics resources (Notebooks, Pipelines, Linked Services, Azure Key Vault)
- Proficiency in SQL queries (SparkSQL and MS SQL)
- Familiarity with data integration best practices and tools
- Experience with Git (Azure DevOps) or similar version control
- Strong problem-solving and analytical skills; very good communication and collaboration abilities
- Preferred: experience with Power BI/Tableau and Agile methodologies
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