Azure Data Engineer - Remote, Latin America
Remote · Panamá, Panamá, Panama
Job Summary
ETL Data Engineer responsible for developing and maintaining ETL data pipelines using Python (PySpark) within Azure Synapse Analytics Notebooks and Pipelines, ensuring efficient extraction, transformation, and loading of data. Design and build data warehouses with star schemas, sources include REST APIs, SQL tables, and CSV files. Utilize Azure Synapse Analytics for scalable notebook/pipeline solutions, contribute to data fabric concepts (data lakes, lakehouses, delta lakes, data cataloging), and collaborate with data scientists, analysts, and stakeholders to deliver high-quality data for insights. Implement data quality checks, monitor ETL jobs, and optimize performance to meet SLAs. Maintain comprehensive documentation, support data governance and security requirements, and apply best practices in data modeling and integration. Familiarity with Power BI/Tableau and Agile methodologies is 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 Python (PySpark)
- Experience with Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault
- Ability to write complex SQL queries and work with SparkSQL and MS SQL to extract, transform, and load data
- Knowledge of data integration best practices and tools
- Experience with version control systems (e.g., Git, Azure DevOps)
- Strong problem-solving and analytical skills
- Excellent communication and collaboration in a team environment
- Familiarity with data visualization tools (Power BI, Tableau) and Agile Methodologies a plus
Desired Qualifications
- Azure Synapse Analytics
- PySpark
- Python
- ETL/ELT
- Data warehousing
- REST APIs
- SQL
- SparkSQL
- MS SQL
- Power BI
- Tableau
- Agile methodologies
- Git (Azure DevOps)
- Data governance/compliance
- Data modeling
- Data quality checks
- Documentation
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