Azure Data Engineer - Remote, Latin America
Remote · Granada, Granada Department, Nicaragua
Job Summary
Azure Data Engineer responsible for designing, developing, and maintaining ETL data pipelines using Python (PySpark) within Azure Synapse Analytics to ensure accurate and accessible analytics data. Collaborates with data scientists and analysts to deliver high-quality data, builds scalable data warehousing solutions, extracts data from REST APIs and CSV sources, ensures data quality, tunes performance to meet SLAs, and maintains documentation. Emphasis on leveraging Azure Synapse Notebooks/Pipelines, data lakes/lakehouses, delta lakes, and data cataloging, with a focus on secure data access via Azure Key Vault and collaboration across cross-functional teams.
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) being a plus
- Proven experience in ETL data engineering with Python (PySpark)
- Experience with Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault
- SQL queries and SparkSQL/MS SQL
- Knowledge of data integration best practices and tools
- Version control (Git, Azure DevOps)
- Strong problem-solving and analytical skills
- Excellent communication skills
- Familiarity with big data technologies, machine learning, and data analysis preferred
- Experience with data visualization tools (Power BI, Tableau) and Agile Methodologies a plus
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.