Azure Data Engineer - Remote, Latin America
Remote · San Salvador, San Salvador Department, El Salvador
Job Summary
As an ETL Data Engineer, design, develop, and maintain ETL data pipelines using Python (PySpark) within Azure Synapse Analytics Notebooks and/or Azure Synapse Analytics Pipelines to ensure efficient data extraction, transformation, and loading. Design and build data warehousing structures with star schemas, facts, and dimensions in an MPP SQL pool. Extract data from REST APIs, SQL databases, and CSV files; apply data fabric concepts like data lakes, lakehouses, and data cataloging. Collaborate with data scientists and analysts to deliver high-quality data for insights; implement data quality checks; monitor ETL jobs and optimize performance to meet SLAs. Maintain comprehensive documentation and ensure security and compliance with data governance standards. Proactively work with cross-functional teams to understand data requirements and support data-related initiatives.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience
- Certifications related to data engineering or data science (e.g. Azure Data Engineer) are a plus
- Proven experience in ETL data engineering with significant expertise in using Python (PySpark) to perform data extraction, transformation, and loading from REST APIs, SQL database tables, 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, optimize query performance, and work with SparkSQL and MS SQL
- Knowledge of data integration best practices and tools
- Experience with version control systems, such as Git (Azure DevOps)
- Strong problem-solving and analytical skills; excellent communication and teamwork
- Familiarity with big data technologies, machine learning, data analysis, and data visualization tools (Power BI, Tableau) is a plus
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