Azure Data Engineer - Remote, Latin America
Remote · Cochabamba, Cochabamba, Bolivia
Job Summary
Azure Data Engineer (Remote, Latin America) focused on designing, developing, and maintaining ETL data pipelines in Python (PySpark) within Azure Synapse Analytics. Responsibilities include building and optimizing data extraction, transformation, and loading processes, designing scalable data warehouses with star schemas, integrating data from REST APIs and CSV sources, and ensuring data quality and governance. Collaborates with data scientists and analysts, tunes performance to meet SLAs, documents processes, and supports cross-functional data initiatives. Requires strong SQL skills (SparkSQL/MS SQL), experience with Azure Synapse Notebooks/Pipelines, and familiarity with data fabrics, data lakes/lakehouses, and BI tools (Power BI/Tableau). Bachelor's degree or equivalent experience and Azure Data Engineer certifications are a plus.
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 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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