Azure Data Engineer - Remote, Latin America
Remote · Colón, Colón, Panama
Job Summary
ETL Data Engineer responsibility to design, develop, and maintain data integration pipelines using Python (PySpark) within Azure Synapse Analytics notebooks and pipelines. Role includes building data warehouses with star schemas, extracting data from REST APIs, SQL databases, and CSV files, applying data quality checks, tuning performance to meet SLAs, and collaborating with data scientists and analysts. Responsibilities cover data modeling, data fabric concepts, security and governance, documentation, and supporting data-related initiatives with tools such as Power BI/Tableau. Requires strong SQL (SparkSQL/MS SQL), Git/Azure DevOps, and Agile experience.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience, with certifications related to data engineering or data science (e.g. Azure Data Engineer) being a plus.
- 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.
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