Azure Data Engineer - Remote, Latin America
Remote · Zapopan, Jalisco, Mexico
Job Summary
Azure Data Engineer responsible for designing, developing, and maintaining ETL data pipelines using Python (PySpark) within Azure Synapse Analytics. Develop data warehousing solutions, extract data from REST APIs, SQL databases, and CSVs, optimize pipelines for performance, ensure data quality and governance, and collaborate with data scientists and analysts. Requires strong SQL, PySpark, Azure Synapse Analytics expertise, and experience with data modeling, data lakes/lakehouses, and data visualization tools; remote-friendly with a Latin America focus.
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) to perform ETL 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 SparkSQL and MS SQL
- 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 attention to detail
- Excellent communication skills and ability to work collaboratively in a team
- 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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