Azure Data Engineer - Remote, Latin America
Remote · Managua, Managua Department, Nicaragua
Job Summary
Azure Data Engineer with expertise in building and maintaining ETL data pipelines using Python (PySpark) within Azure Synapse Analytics, designing scalable data warehouses, and ensuring data quality and performance. Responsibilities include extracting data from REST APIs, SQL databases, and CSVs; developing notebooks and pipelines in Azure Synapse; modeling and organizing data for analytics; implementing data fabric concepts (data lakes, delta lakes, lakehouses, data catalogs); collaborating with data scientists and analysts; and ensuring security, compliance, and governance. Candidates should have a Bachelor's degree and hands-on experience with PySpark, Azure Synapse analytics tools, SQL querying (SparkSQL and MS SQL), Git/Azure DevOps, and familiarity with Power BI or Tableau. The role is remote in Latin America, with Managua, Nicaragua as a local option.
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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