Azure Data Engineer - Remote, Latin America
Remote · Córdoba, Cordoba, Argentina
Job Summary
ETL Data Engineer to design, develop, and maintain data integration processes primarily using Python (PySpark) and Azure Synapse Analytics to ensure accurate and available analytical data. Responsibilities include building ETL pipelines, data warehousing with star schemas, extracting data from REST APIs, SQL databases, and CSV files, optimizing notebooks/pipelines for performance, implementing data quality checks, monitoring jobs, and maintaining documentation. Collaboration with data scientists, analysts, and stakeholders, plus ensuring security/compliance and supporting data-related initiatives.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent work experience)
- Significant experience in ETL data engineering with Python (PySpark)
- Experience with Azure Synapse Analytics resources (Notebooks, Pipelines, Linked Services, Azure Key Vault)
- Strong SQL skills (SparkSQL and MS SQL)
- Knowledge of data integration best practices/tools
- Experience with Git (Azure DevOps)
- Excellent communication and collaboration skills
- Familiarity with big data, machine learning, and data analysis is a plus
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