Azure Data Engineer - Remote, Latin America
Remote · Mexico City, Mexico City, Mexico
Job Summary
ETL Data Engineer role designing, developing, and maintaining data integration processes using Python (PySpark) within Azure Synapse Analytics. Responsibilities include building and optimizing ETL pipelines/notebooks, data warehousing with star schemas, extracting data from REST APIs, SQL databases, and CSVs, implementing data quality checks, tuning performance to meet SLAs, and ensuring security/compliance. Collaborates with data scientists, analysts, and stakeholders; maintains comprehensive documentation; supports data requirements across cross-functional teams; exposure to data fabrics, lakehouses, data catalogs, and visualization tools (Power BI/Tableau) is a plus.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience
- Significant experience in ETL data engineering with Python (PySpark)
- Proficiency with Azure Synapse Analytics resources (Notebooks, Pipelines, Linked Services, Azure Key Vault)
- Ability to write complex SQL queries (SparkSQL and MS SQL) and optimize performance
- Knowledge of data integration best practices and tools
- Experience with version control (Git, Azure DevOps)
- Strong problem-solving and analytical skills; effective communication and teamwork
- Familiarity with big data technologies, data visualization tools (Power BI, Tableau) and Agile methodologies
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