Azure Data Engineer - Remote, Latin America
Remote · San Luis Potosí, San Luis Potosí, Mexico
Job Summary
Azure Data Engineer role focused on designing, developing, and maintaining ETL data pipelines using Python (PySpark) and Azure Synapse Analytics to enable accurate, scalable data integration for analytics. Responsibilities include building data warehouses with star schemas, extracting data from REST APIs, SQL databases, and CSVs, implementing data quality checks, monitoring ETL jobs, optimizing performance to meet SLAs, and collaborating with data scientists, analysts, and stakeholders. Requires strong SQL (SparkSQL/MS SQL), PySpark, Azure Synapse skills, and familiarity with data fabrics, data lakes, delta lakes, and data cataloging. Remote opportunity for Latin America with a San Luis Potosí, MX location reference.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or related field; or equivalent work experience
- significant experience in ETL data engineering using Python (PySpark)
- proficiency with Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault
- ability to write complex SQL queries and work with SparkSQL and MS SQL
- experience with REST APIs, SQL databases, and CSV data sources
- knowledge of data integration best practices and tools
- experience with version control systems (e.g., Git) and Azure DevOps
- strong problem-solving and analytical skills
- excellent communication and collaboration in a team environment
- familiarity with big data technologies, data visualization tools (Power BI, Tableau) and Agile methodologies
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