Azure Data Engineer - Remote, Latin America
Remote · São Paulo, São Paulo, Brazil
São Paulo, São Paulo, BrazilRemoteFull TimeMid LevelBachelors DegreeUnknown
Type
Full Time
Level
Mid Level
Education
Bachelors Degree
Company size
Unknown
Job Summary
ETL Data Engineer responsible for designing, developing, and maintaining ETL data pipelines using Python (PySpark) within Azure Synapse Analytics to ensure accurate and available analytical data. Collaborate with data scientists, analysts, and stakeholders to deliver scalable data solutions, implement data quality checks, optimize performance, and document data flows and transformations.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent work experience)
- Significant experience in ETL data engineering using Python (PySpark)
- Experience with Azure Synapse Analytics resources (Notebooks, Pipelines, Linked Services, Azure Key Vault)
- Strong SQL skills (SparkSQL and MS SQL) for data extraction, transformation, and loading
- Experience with data integration best practices and tools
- Experience with version control (Git, Azure DevOps)
- Excellent communication and collaboration skills
- Understanding of data warehousing concepts (star schemas, facts, dimensions)
- Familiarity with data visualization tools (Power BI, Tableau) and Agile methodologies is a plus
- Knowledge of data quality checks and data governance
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