Azure Data Engineer - Remote, Latin America
Remote · Guatemala City, Guatemala, Guatemala
Job Summary
ETL Data Engineer responsible for developing and maintaining ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks and Pipelines, to ensure efficient data extraction, transformation, and loading. Design and build data warehouse structures in an MPP SQL pool, source data from REST APIs, SQL tables, and CSV files, and implement data quality checks. Optimize ETL notebooks/pipelines for performance, monitor jobs, and document data flows. Collaborate with data scientists, analysts, and cross-functional teams while ensuring data security and compliance. Strong emphasis on Azure Synapse Analytics, data modeling, and data governance, with experience in Git/Azure DevOps and visualization tools a plus.
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
- 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
- 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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