Azure Data Engineer - Remote, Latin America
Remote · Tacna, Tacna, Peru
Job Summary
Azure Data Engineer with a focus on ETL pipelines and data integration using Python (PySpark) and Azure Synapse Analytics. Responsibilities include designing, developing, and maintaining ETL processes, data warehousing concepts, data extraction from REST APIs, SQL databases, and CSV files, ensuring data quality and performance, monitoring pipelines, and collaborating with data scientists, analysts, and stakeholders. Requires strong SQL (SparkSQL/MS SQL), experience with Azure Synapse resources, data modeling, governance, and proficiency in Git/Azure DevOps. The role emphasizes scalable data solutions, documentation, and cross-functional teamwork in a remote Latin America context.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field
- Significant experience in ETL data engineering using Python (PySpark)
- Proficiency with Azure Synapse Analytics resources (Notebooks, Pipelines, Linked Services, Azure Key Vault)
- Experience writing complex SQL queries and working with SparkSQL and MS SQL
- Knowledge of data integration best practices and tools
- Experience with Git (Azure DevOps)
- Strong problem-solving and analytical skills with attention to detail
- Excellent verbal and written communication skills and ability to collaborate in a dynamic team
- 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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