Azure Data Engineer - Remote, Latin America
Remote · Manaus, Amazonas, Brazil
Job Summary
Azure Data Engineer responsible for designing, developing, and maintaining ETL data pipelines in Python (PySpark) within Azure Synapse Analytics to ensure accurate, timely analytical data. Collaborate with data scientists and analysts to deliver scalable data warehousing solutions, implement data models, ensure data quality, optimize performance, and document data flows. The role emphasizes working with Azure Synapse Notebooks/Pipelines, REST APIs, SQL databases, and data fabrics (data lakes, lakehouses) to support client analytics and decision-making. Remote-friendly in Latin America, with Manaus, Amazonas as the named locale in this posting.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent)
- Significant experience in ETL with Python (PySpark)
- Proficiency with Azure Synapse Analytics (Notebooks, Pipelines, Linked Services, Azure Key Vault)
- Strong SQL skills (SparkSQL and MS SQL)
- Experience with REST APIs, SQL databases, and CSV data sources
- Knowledge of data integration best practices and tools
- Experience with version control (Git, Azure DevOps)
- Strong problem-solving and analytical skills; effective communication; team collaboration
Desired Qualifications
- Azure Data Engineer certification (preferred)
- Experience with PySpark
- Azure Synapse Analytics expertise
- ETL/data integration experience
- Power BI or Tableau familiarity
- Agile methodologies familiarity
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