Azure Data Engineer - Remote, Latin America
Remote · Lima, Lima Province, Peru
Job Summary
Azure Data Engineer to design, develop, and maintain ETL data pipelines using Python (PySpark) within Azure Synapse Analytics Notebooks and Pipelines. Responsible for data warehousing in an MPP SWL pool, extracting data from REST APIs, SQL databases, and CSV files, and ensuring data quality and performance to meet SLAs. Collaborates with data scientists, analysts, and stakeholders, documents ETL data flows and transformations, and ensures security and compliance. Requires a Bachelor’s degree (or equivalent) and strong SQL, PySpark, Azure Synapse expertise; experience with Git and data visualization tools (Power BI, Tableau) is a plus.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or 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 skills (SparkSQL and MS SQL)
- Experience with REST APIs and CSV data sources
- Familiarity with data warehousing concepts (star schemas, facts, dimensions)
- Knowledge of data integration best practices and tools
- Experience with Git (Azure DevOps)
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