Azure Data Engineer - Remote, Latin America
Remote · Medellín, Antioquia, Colombia
Job Summary
Azure Data Engineer - Remote Latin America: Design, develop, and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics to ensure accurate and accessible analytical data. Responsibilities include data warehousing designs (star schemas, facts, dimensions), integrating diverse data sources (REST APIs, SQL databases, CSV files), building scalable notebooks and pipelines, implementing data quality checks, monitoring ETL jobs, optimizing performance to meet SLAs, and documenting data flows. Collaborate with data scientists, analysts, and stakeholders while ensuring data security and compliance; leverage Azure Synapse Analytics features and data-fabric concepts (data lakes, lakehouses, delta lakes, data cataloging) to support data-driven decision making.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or 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) for data extraction, transformation, and loading from REST APIs, SQL database tables, and CSV files
- Proficiency in Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault
- Demonstrated ability to write complex SQL queries, optimize query performance 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 attention to detail
- Excellent communication and ability to work collaboratively in a team with shifting priorities
- 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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