Azure Data Engineer - Remote, Latin America
Remote · León, León Department, Nicaragua
Job Summary
Azure Data Engineer role focusing on designing, developing, and maintaining data integration pipelines using Python (PySpark) and Azure Synapse Analytics. Responsibilities include data warehousing design (star schemas, facts, and dimensions), extracting data from REST APIs, SQL tables, and CSV files, building scalable notebooks/pipelines, implementing data quality checks, tuning performance to meet SLAs, monitoring ETL jobs, and documenting data flows. Collaborates with data scientists, analysts, and stakeholders to deliver accurate, accessible analytical data; emphasizes data security, governance, and compliance. Growth-oriented environment with emphasis on modern technologies and cross-functional collaboration.
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) to extract, transform, and load from REST APIs, SQL database tables, and CSV files
- Proficiency with Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault
- Ability to write complex SQL queries, optimize performance, and work with SparkSQL and MS SQL
- Knowledge of data integration best practices and tools
- Experience with version control systems (Git, Azure DevOps)
- Strong problem-solving and analytical skills; effective communication and teamwork
- Familiarity with data visualization tools (Power BI, Tableau) and Agile methodologies preferred
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