Azure Data Engineer - Remote, Latin America
Remote · Mendoza, Mendoza, Argentina
Job Summary
ETL Data Engineer responsible for designing, developing, and maintaining data integration processes using Python (PySpark) within Azure Synapse Analytics Notebooks and/or Pipelines. Roles include building data warehousing structures in an MPP SQL pool, extracting data from REST APIs, SQL tables, and CSV files, implementing data quality checks, tuning performance, monitoring ETL jobs, and maintaining documentation. Collaboration with data scientists, analysts, and stakeholders to deliver high-quality data for insights, while ensuring data security and governance. The position emphasizes modern data engineering practices, Azure Synapse expertise, and the ability to contribute to challenging projects within a collaborative, growth-focused environment.
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 Python (PySpark) for data extraction, transformation, and loading from REST APIs, SQL database tables, and CSV files
- Proficiency in Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault
- Demonstrated ability to write complex SQL queries; optimize query performance; work with 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; attention to detail
- Excellent communication skills; ability to work collaboratively in a team
- Familiarity with big data technologies, machine learning, and data analysis preferred
- Experience with data visualization tools (Power BI, Tableau) and Agile Methodologies a plus
- Location: Mendoza, Argentina
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