Azure Data Engineer - Remote, Latin America
Remote · Cartago, Cartago Province, Costa Rica
Job Summary
Azure Data Engineer with a focus on ETL using PySpark in Azure Synapse Analytics. Design, develop, and maintain ETL pipelines/notebooks to ensure accurate and available analytical data. Collaborate with data scientists and analysts, implement data quality checks, optimize performance, and document data flows. Role emphasizes data warehousing concepts (star schemas, facts, dimensions), REST API/CSV data sources, SQL expertise (SparkSQL, MS SQL), and governance/security practices within a Latin America remote-enabled delivery context.
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) 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 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 with attention to detail
- Excellent communication skills and ability to work collaboratively in a team environment
- Familiarity with big data technologies, machine learning, and data analysis preferred
- Experience with data visualization tools (Power BI, Tableau) and Agile Methodologies a plus
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