Azure Data Engineer - Remote, Latin America
Remote · Mérida, Yucatán, Mexico
Job Summary
Azure Data Engineer role (Remote, Latin America) focusing on ETL data engineering for client projects using Python (PySpark) within Azure Synapse Analytics. Responsibilities include designing and maintaining ETL processes, building data warehouses, extracting data from REST APIs, SQL databases, and CSV files; leveraging Azure Synapse Notebooks and Pipelines; implementing data quality checks, performance tuning, monitoring, and documentation; collaborating with data scientists, analysts, and stakeholders; ensuring data security and governance; and contributing to data fabric concepts and data modeling to support analytics and decision-making.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field
- 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
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