Azure Data Engineer - Remote, Latin America
Remote · Linden, Upper Demerara-Berbice, Guyana
Job Summary
Azure Data Engineer responsible for end-to-end ETL data engineering on client projects using Python (PySpark) and Azure Synapse Analytics. Design, develop, and maintain data integration processes; build data warehouses with star schemas; extract from REST APIs, SQL databases, and CSV files; optimize notebooks/pipelines for scalability and performance; implement data quality checks and governance; collaborate with data scientists, analysts, and stakeholders to deliver reliable data for insights. Strong emphasis on developing scalable ETL solutions, data modeling, performance tuning, and documentation in a fast-paced consultancy environment.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience
- Significant experience in ETL data engineering using Python (PySpark) for data extraction, transformation, and loading from REST APIs, SQL database tables, and CSV files
- Proficiency with Azure Synapse Analytics resources including Notebooks and Pipelines
- Ability to write complex SQL queries and work with SparkSQL and MS SQL for data extraction, transformation, and loading
- 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 verbal and written communication for collaboration in cross-functional teams
- 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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