Azure Data Engineer - Remote, Latin America
Remote · Belize City, Belize District, Belize
Job Summary
ETL Data Engineer to design, develop, and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics notebooks/pipelines, to ensure accurate and timely data delivery for analytics; build and optimize data warehousing structures (star schemas, facts, dimensions) in an MPP SQL pool; extract data from REST APIs, SQL databases, and CSVs; implement data quality checks; monitor and troubleshoot ETL jobs; collaborate with data scientists, analysts, and stakeholders; document data flows and transformations; ensure data security and governance compliant with standards; contribute to data fabric concepts such as data lakes, delta lakes, and data cataloging; support cross-functional data initiatives and maintain scalable, performant data pipelines.
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 significant expertise in using Python (PySpark) to perform data extraction, transformation, and loading from REST APIs, SQL database tables, and CSV files
- Proficiency in using Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault
- Demonstrated ability to write complex SQL queries, optimize query performance, and work with both SparkSQL and MS SQL to effectively extract, transform, and load data
- Knowledge of data integration best practices and tools
- Experience with version control systems, such as Git (Azure DevOps)
- Strong problem-solving and analytical skills, with a keen attention to detail
- Excellent communication skills, both verbal and written, with the ability to work collaboratively in a team environment with shifting priorities
- Familiarity with big data technologies, machine learning, and data analysis preferred
- Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus
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