Azure Data Engineer - Remote, Latin America
Remote · Arequipa, Arequipa, Peru
Job Summary
Azure Data Engineer role focused on building and maintaining ETL data pipelines in Python (PySpark) within Azure Synapse Analytics. Responsibilities include data extraction from REST APIs, SQL tables, and CSV files; designing data warehouses and star-schema structures; implementing data quality checks; optimizing pipelines for performance and SLAs; monitoring, troubleshooting, and maintaining documentation. Collaborates with data scientists, analysts, and stakeholders to deliver high-quality data for insights, while ensuring data security, governance, and compliance.
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) to extract, transform, and load from REST APIs, SQL databases, and CSV files
- Proficiency with Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault
- Demonstrated ability to write complex SQL queries and work with SparkSQL and MS SQL for ETL
- Knowledge of data integration best practices and tools
- Experience with version control systems (Git, Azure DevOps)
- Strong problem-solving and analytical skills with attention to detail
- Excellent communication and collaboration skills
- Familiarity with big data technologies, machine learning, and data analysis preferred
- Experience with data visualization tools (Power BI, Tableau) and Agile methodologies a plus
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