Azure Data Engineer - Remote, Latin America
Remote · Goiânia, Goiás, Brazil
Goiânia, Goiás, BrazilRemoteFull TimeMid LevelBachelors DegreeUnknown
Type
Full Time
Level
Mid Level
Education
Bachelors Degree
Company size
Unknown
Job Summary
Azure Data Engineer - Remote, Latin America. Responsible for designing, developing, and maintaining data integration processes using Python (PySpark) and Azure Synapse Analytics to ensure accurate, available analytical data. Responsibilities include ETL development, data warehousing design, data source integration (REST APIs, SQL, CSV), performance tuning, data quality checks, monitoring, documentation, collaboration with cross-functional teams, and ensuring security and governance compliance.
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
- 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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