Azure Data Engineer - Remote, Latin America
Remote · Huancayo, Junin, Peru
Job Summary
Azure Data Engineer responsible for developing and maintaining ETL data pipelines using Python (PySpark) within Azure Synapse Analytics, ensuring accurate and timely data delivery for analytics. Design and optimize data notebooks and pipelines, extract data from REST APIs, SQL databases, and CSV files, and implement data quality checks. Collaborate with data scientists, analysts, and stakeholders to model data, tune performance, and maintain documentation. Apply data warehousing best practices (star schemas, facts and dimensions) and work across data fabrics, data lakes, delta lakes, and data cataloging. Ensure security and governance compliance while supporting cross-functional teams and client-facing projects.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience
- Experience in ETL data engineering with Python (PySpark)
- Proficiency in Azure Synapse Analytics resources (Notebooks, Pipelines, Linked Services, Azure Key Vault)
- Strong SQL skills (SparkSQL and MS SQL)
- Experience with REST APIs, SQL databases, and CSV data sources
- Familiarity with data warehousing concepts and data modeling
- Experience with version control (Git, Azure DevOps)
- Excellent communication and teamwork skills
- Knowledge of data visualization tools (Power BI, Tableau) and Agile methodologies is a plus
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