Azure Data Engineer - Remote, Latin America
Remote · Antigua Guatemala, Sacatepéquez, Guatemala
Job Summary
Azure Data Engineer role focusing on designing, developing, and maintaining ETL data pipelines using Python (PySpark) and Azure Synapse Analytics Notebooks/Pipelines. Responsibilities include data warehousing design within an MPP SQL pool, extracting data from REST APIs, SQL tables, and CSV files, implementing data quality checks, performance tuning of ETL notebooks/pipelines to meet SLAs, monitoring and troubleshooting data pipelines, and maintaining comprehensive documentation. Collaboration with data scientists, analysts, and stakeholders is required, along with ensuring security and compliance and contributing to data fabric concepts (data lakes, delta lakes, lakehouses, and data cataloging). The role emphasizes building scalable data models and schemas aligned with business requirements and supporting data-related initiatives.
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 Python (PySpark)
- Experience with 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 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
- 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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