Azure Data Engineer - Remote, Latin America
Remote · Valparaíso, Valparaíso, Chile
Job Summary
Azure Data Engineer is responsible for designing, developing, and maintaining ETL data engineering processes primarily using Python (PySpark) and Azure Synapse Analytics to ensure the accuracy and availability of analytical data. You will extract data from REST APIs, SQL tables, and CSV files; design scalable data storage structures; implement data quality checks; optimize performance to meet SLAs; monitor pipelines, document data flows, and collaborate with data scientists, analysts, and other stakeholders to support data-driven decision making. The role emphasizes data warehousing concepts, schema design, data lakes and cataloging, security and compliance, and the use of tools such as Azure Synapse Analytics Notebooks and Pipelines, with familiarity in Power BI/Tableau for data visualization and Agile methodologies.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience
- 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
- Excellent communication skills, both verbal and written
- Familiarity with big data technologies, machine learning, and data analysis preferred
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