Azure Data Engineer - Remote, Latin America
Remote · Recife, Pernambuco, Brazil
Job Summary
Azure Data Engineer for a REMOTE, LATIN AMERICA-focused role tasked with designing, developing, and maintaining data integration processes using Python (PySpark) within Azure Synapse Analytics. Responsibilities include ETL pipeline development, data warehousing design, data source extraction from REST APIs, SQL databases, and CSV files, tuning performance, ensuring data quality and governance, and collaborating with cross-functional teams to deliver scalable analytics solutions. Requires strong SQL, PySpark, Azure Synapse Analytics expertise, and experience with data modeling, data lakes/lakehouses, and BI tools; remote work in Brazil/LatAm is supported.
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 significant expertise in using 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 a keen attention to detail
- Excellent communication skills, both verbal and written, with the ability to work collaboratively in a team environment with shifting priorities
- 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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