Azure Data Engineer - Remote, Latin America
Remote · Escuintla, Escuintla, Guatemala
Job Summary
Azure Data Engineer focusing on ETL within Azure Synapse Analytics, developing and maintaining data pipelines using Python (PySpark) to ensure accurate, available analytics data. Responsible for data warehousing concepts (star schemas, facts and dimensions), data ingestion from REST APIs, SQL databases, and CSV files; design and optimize notebooks/pipelines for scalability; contribute to data fabric concepts (data lakes/lakehouses, delta lakes, data cataloging); build data models and schemas aligned with business requirements; implement data quality checks, monitor ETL jobs, and document data flows and transformations; collaborate cross-functionally with data scientists, analysts, and stakeholders; ensure data security and governance; familiarity with Power BI/Tableau and Agile methodologies.
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) are a plus
- Proven experience in ETL data engineering with Python (PySpark)
- Experience with Azure Synapse Analytics resources including Notebooks and Pipelines
- Proficiency in SQL (SparkSQL and MS SQL)
- Experience with REST APIs, SQL databases, and CSV file data sources
- 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
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