Azure Data Engineer - Remote, Latin America
Remote · Sucre, Chuquisaca Department, Bolivia
Job Summary
ETL Data Engineer to design, develop, and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks and/or Azure Synapse Pipelines, ensuring accurate and available analytical data. Responsibilities include data warehousing design, extracting from REST APIs, SQL databases, and CSV files, data modeling, implementing data quality checks, performance tuning, monitoring ETL jobs, maintaining documentation, and collaborating with cross-functional teams while ensuring security and 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
- Significant experience in ETL data engineering using Python (PySpark)
- Experience with Azure Synapse Analytics resources (Notebooks, Pipelines, Linked Services, Azure Key Vault)
- Proficiency in SQL queries, SparkSQL, MS SQL
- Knowledge of data integration best practices and tools
- Version control with Git (Azure DevOps)
- Strong problem-solving and analytical skills
- Excellent communication skills and ability to work collaboratively
- Familiarity with big data technologies, machine learning, and data analysis
- Experience with data visualization tools (Power BI, Tableau) and Agile Methodologies
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