Azure Data Engineer - Remote, Latin America
Remote · Nieuw Nickerie, Nickerie District, Suriname
Job Summary
Azure Data Engineer responsible for designing, developing, and maintaining ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics to ensure accurate, available analytical data. You will collaborate with data scientists, analysts, and stakeholders to deliver high-quality data for insights, build scalable data models and warehouses, implement data quality checks, monitor ETL jobs, optimize performance, and document data flows. The role emphasizes hands-on data integration, data fabrics concepts, and alignment with business requirements within a fast-paced, client-focused consultancy.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience
- Significant experience in ETL data engineering using Python (PySpark) for data extraction, transformation, and loading from REST APIs, SQL databases, and CSV files
- Proficiency with Azure Synapse Analytics resources including Notebooks and Pipelines
- Strong SQL skills (SparkSQL and MS SQL) and ability to optimize queries
- Knowledge of data integration best practices and tools
- Experience with version control systems such as Git (Azure DevOps) or similar
- Excellent communication and collaboration skills; ability to work in cross-functional teams
- Familiarity with big data technologies, machine learning, and data analysis (preferred)
- Experience with data visualization tools (Power BI, Tableau) and Agile methodologies (a plus)
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