Azure Data Engineer - Remote, Latin America
Remote · Quito, Pichincha, Ecuador
Job Summary
Azure Data Engineer responsible for designing, developing, and maintaining data integration pipelines using Python (PySpark) within Azure Synapse Analytics, ensuring accurate and available analytical data. Collaborate with data scientists, analysts, and stakeholders to extract data from REST APIs, SQL databases, and CSV files; design data models and warehousing structures; implement data quality checks; optimize ETL notebooks/pipelines for performance; document data flows and transformations; ensure data security and compliance; contribute to data fabric concepts and governance within a fast-paced consulting environment.
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)
- Proficiency in Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault
- Demonstrated ability to write complex SQL queries (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; attention to detail
- Excellent communication skills; ability to collaborate in a team
- Familiarity with big data technologies, machine learning, data analysis preferred
- Experience with data visualization tools (Power BI, Tableau) and Agile methodologies a plus
Desired Qualifications
- Azure Data Engineer certification
- experience with data engineering
- data visualization tools (Power BI, Tableau)
- Agile methodologies
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