Azure Data Engineer - Remote, Latin America
Remote · Masaya, Masaya Department, Nicaragua
Job Summary
Azure Data Engineer focusing on ETL data pipelines using Python (PySpark) within Azure Synapse Analytics to ensure accurate, scalable data delivery for analytics. Responsibilities include building and maintaining ETL processes, data warehousing design (star schemas, facts, dimensions), extracting data from REST APIs, SQL databases, and CSVs, ensuring data quality, tuning performance, monitoring pipelines, and collaborating with data scientists and analysts. Emphasis on data modeling, data governance, security, and compliance within a fast-paced consultancy environment; remote work from Latin America (Masaya, Nicaragua) with client engagements across the Americas.
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)
- Experience with Azure Synapse Analytics resources (Notebooks, Pipelines, Linked Services, Azure Key Vault)
- Ability to write complex SQL queries and work with SparkSQL and MS SQL
- Knowledge of data integration best practices and tools
- Experience with version control systems (e.g., Git, Azure DevOps)
- Strong problem-solving and analytical skills with attention to detail
- Excellent communication skills and teamwork
- 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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