Azure Data Engineer - Remote, Latin America
Remote · Santiago, Santiago Metropolitan, Chile
Job Summary
ETL Data Engineer role focusing on designing, developing, and maintaining data integration processes using Python (PySpark) within Azure Synapse Analytics to ensure accurate and available analytical data. Responsibilities include data warehousing design, extracting data from REST APIs, SQL tables, and CSVs; building scalable notebooks and pipelines; implementing data quality checks; performance tuning to meet SLAs; monitoring ETL jobs and troubleshooting; maintaining documentation; collaborating with cross-functional teams; ensuring data security and governance; and leveraging data fabric concepts, data lakes, lakehouses, and data cataloging as part of data management.
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
- Significant experience 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
- Demonstrated ability to write complex SQL queries and optimize query performance using SparkSQL and MS SQL
- Knowledge of data integration best practices and tools
- Experience with version control systems, such as Git (Azure DevOps)
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