Azure Data Engineer - Remote, Latin America
Remote · Heredia, Heredia Province, Costa Rica
Job Summary
Azure Data Engineer to design, develop, and maintain ETL data pipelines using Python (PySpark) within Azure Synapse Analytics, ensuring accurate and timely analytical data. Responsibilities include building data warehouses (MPP SQL), extracting data from REST APIs, SQL databases, and CSV files; implementing data quality checks; optimizing performance; monitoring ETL jobs; and documenting data flows. Collaborates with data scientists and analysts, supports data governance and security practices, and leverages tools such as Notebooks and Pipelines in Azure Synapse. Remote role with placement in Heredia, Costa Rica, serving clients across Latin America.
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 Python (PySpark) to extract/transform/load from REST APIs, SQL databases, and CSV files
- Proficiency with Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault
- Ability to write complex SQL queries and work with SparkSQL and MS SQL
- Knowledge of data integration best practices and tools
- Experience with version control systems (Git, Azure DevOps)
- Strong problem-solving and analytical skills
- Excellent communication and team collaboration skills
- Familiarity with big data technologies, data visualization tools (Power BI, Tableau) and Agile methodologies
Desired Qualifications
- Azure Data Engineer certification (preferred)
- Experience with PySpark
- Strong SQL skills (SparkSQL, MS SQL)
- Experience with Azure Synapse Analytics Notebooks and Pipelines
- Familiarity with REST APIs, CSV, and database sources
- Data warehousing and star schema design
- Data quality, validation, and governance
- Performance tuning for ETL pipelines
- Experience with Power BI or Tableau (a plus)
- Agile methodologies experience
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