Azure Data Engineer - Remote, Latin America
Remote · Santa Ana, Santa Ana Department, El Salvador
Job Summary
Azure Data Engineer to design, develop, and maintain ETL data pipelines using Python (PySpark) in Azure Synapse Analytics for scalable data integration. Responsibilities include building data warehousing solutions, extracting data from REST APIs, SQL databases, and CSV files; designing data models; implementing data quality checks; performance tuning of ETL notebooks/pipelines to meet SLAs; monitoring and troubleshooting data pipelines; maintaining documentation; and ensuring security and compliance with data governance standards. Collaboration with data scientists, analysts, and stakeholders is essential, leveraging Azure Synapse Analytics Notebooks and Pipelines, and integrating with Git/Azure DevOps. Familiarity with data fabric concepts, data lakes, lakehouses, Delta Lake, and data cataloging is a plus.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience, with certifications related to data engineering or data science (e.g. Azure Data Engineer) being a plus.
- Proven experience in ETL data engineering with significant expertise in using Python (PySpark) to perform data extraction, transformation, and loading 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 both SparkSQL and MS SQL to effectively extract, transform, and load data.
- 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 a keen attention to detail.
- Excellent communication skills, both verbal and written, with the ability to work collaboratively in a team environment with shifting priorities.
- Familiarity with big data technologies, machine learning, and data analysis preferred.
- Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus.
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