Azure Data Engineer - Remote, Latin America
Remote · Naucalpan de Juárez, México, Mexico
Job Summary
Azure Data Engineer for remote Latin America location (Naucalpan, MX) to design, develop, and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks and Pipelines. Responsibilities include data warehousing design using star schemas, extracting data from REST APIs, SQL tables, and CSV files; building data models; implementing data quality checks; performance tuning of ETL notebooks/pipelines to meet SLAs; monitoring and troubleshooting data pipelines; documenting ETL processes and data flows; collaborating with data scientists, analysts, and stakeholders; ensuring data security and governance compliance. Requires Bachelor's degree or equivalent work experience, with Azure Data Engineer certifications a plus. Remote work from Latin America with focus on Azure Synapse and PySpark stacks.
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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