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Bluelight Consulting1 week ago

Azure Data Engineer - Remote, Latin America

Remote · Salvador, Bahia, Brazil

Type
Full Time
Level
Mid Level
Education
Bachelors Degree
Company size
Unknown

Job Summary

Azure Data Engineer (Remote, Latin America) at Bluelight — design, develop, and maintain ETL data pipelines using Python (PySpark) and Azure Synapse Analytics; build scalable data warehouses; extract from REST APIs, SQL databases, and CSVs; implement data quality, security, and governance; collaborate with data scientists and analysts to enable data-driven decisions; prepare comprehensive documentation and support data-related initiatives across a Latin American remote-first team.

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience, with 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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Bluelight Consulting

Azure Data Engineer - Remote, Latin America

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