Azure Data Engineer - Remote, Latin America
Remote · Puebla, Puebla, Mexico
Job Summary
Azure Data Engineer role focused on ETL data engineering using Python (PySpark) within Azure Synapse Analytics to design, develop, and maintain data integration processes for analytical data; responsibilities include data warehousing, data modeling, data quality checks, performance tuning, monitoring, and collaboration with cross-functional teams to ensure data security and governance. Remote work option available in Latin America, with Puebla City, Mexico as a defined location; requires a bachelor’s degree or equivalent experience and experience with Azure Synapse Analytics, PySpark, REST APIs, CSVs, and SQL.
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 proficiency including SparkSQL and MS SQL
- Familiarity with data integration best practices and tools
- Version control with Git (Azure DevOps)
- Strong problem-solving and analytical skills
- Excellent written and verbal communication skills
- Experience with data visualization tools (Power BI, Tableau) and Agile Methodologies a plus
- Familiarity with big data technologies, machine learning, and data analysis preferred
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