Azure Data Engineer - Remote, Latin America
Remote · Colombia
Job Summary
Azure Data Engineer - Remote, Latin America: Design, develop, and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks and/or Azure Synapse Analytics Pipelines to ensure accurate and accessible analytical data. Collaborate with data scientists, analysts, and stakeholders to deliver high-quality data for insights, focusing on data warehousing concepts, star schemas, and scalable data models, while implementing data quality checks, performance tuning, and monitoring of ETL jobs. Maintain comprehensive documentation and participate in cross-functional collaboration to support data-related initiatives, security, and governance.
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
- Significant expertise in ETL data engineering using Python (PySpark) to extract, transform, and load from REST APIs, SQL database tables, and CSV files
- Proficiency with Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault
- Ability to write complex SQL queries and optimize performance using 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 in a team with shifting priorities
- 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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