Azure Data Engineer - Remote, Latin America
Remote · Salta, Salta, Argentina
Job Summary
Azure Data Engineer - Remote, Latin America: Design, develop, and maintain ETL data pipelines using Python (PySpark) and Azure Synapse Analytics to ensure accurate and available analytic data. Collaborate with data scientists and analysts; build data models and schemas; implement data quality checks; optimize ETL notebooks/pipelines for performance; monitor data jobs; document data flows and transformations; work with REST APIs, CSV files, and SQL databases; leverage Azure Synapse resources (Notebooks, Pipelines, Key Vault); actively participate in cross-functional teams and ensure security/compliance.
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 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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