Azure Data Engineer - Remote, Latin America
Remote · Palmira, Valle del Cauca Department, Colombia
Job Summary
Azure Data Engineer with strong ETL expertise using Python (PySpark) and Azure Synapse Analytics to design, develop, and maintain data pipelines for client data warehouses. Responsibilities include building ETL processes, optimizing queries and pipelines, extracting data from REST APIs, SQL databases, and CSV files, designing scalable data models, implementing data quality checks, and collaborating with data scientists and analysts. Proficiency in PySpark, Azure Synapse Notebooks/Pipelines, SQL (SparkSQL and MS SQL), data warehousing concepts, data lakes/lakehouses, and data governance practices is required; experience with Power BI/Tableau and Git/Azure DevOps is a plus. Security and compliance considerations and the ability to document ETL processes and data transformations are also emphasized.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience
- Significant experience in ETL data engineering using Python (PySpark)
- Experience with Azure Synapse Analytics (Notebooks, Pipelines)
- Strong SQL skills (SparkSQL and MS SQL)
- Knowledge of data integration best practices and tools
- Experience with version control (Git, Azure DevOps)
- Excellent communication and teamwork skills
- Familiarity with big data technologies, data visualization tools (Power BI, Tableau) and Agile methodologies preferred
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