Azure Data Engineer - Remote, Latin America
Remote · Encarnación, Itapúa, Paraguay
Job Summary
ETL Data Engineer to design, develop, and maintain data integration pipelines using Python (PySpark) in Azure Synapse Analytics Notebooks and Pipelines; build data warehousing structures with star schemas; extract data from REST APIs, SQL tables, and CSV files; implement data quality checks; optimize ETL notebooks/pipelines for performance and SLAs; collaborate with data scientists, analysts, and stakeholders; maintain comprehensive documentation; ensure data security and governance; leverage Azure Synapse resources and Git (Azure DevOps); adaptable to a fast-paced, collaborative environment across Latin America.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience
- 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
Desired Qualifications
- Azure Data Engineer
- ETL
- PySpark
- Python
- Azure Synapse Analytics
- Notebooks
- Pipelines
- REST APIs
- SQL
- SparkSQL
- MS SQL
- Power BI
- Tableau
- Data Warehousing
- Data Modeling
- Data Quality
- Git
- Azure DevOps
- Agile Methodologies
- Data Lake
- Delta Lake
- Data Cataloging
- Security and Compliance
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