Azure Data Engineer - Remote, Latin America
Remote · Brasília, Federal District, Brazil
Job Summary
Azure Data Engineer role focusing on ETL using Python (PySpark) within Azure Synapse Analytics notebooks and pipelines to ensure accurate, available analytical data. Responsibilities include designing and maintaining ETL processes, data warehousing, data source integration (REST APIs, SQL databases, CSV), data modeling, data quality checks, performance tuning, monitoring and troubleshooting, documentation, collaboration with cross-functional teams, and ensuring security and governance of data assets. Requires a Bachelor's degree or equivalent experience and strong experience with Python (PySpark) and Azure Synapse Analytics, plus SQL proficiency and familiarity with data visualization tools. Remote work available in Latin America (Brasília, Brazil).
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 both SparkSQL and MS SQL to effectively extract, transform, and load data
- 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 (e.g. Power BI, Tableau) and Agile Methodologies a plus
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