Azure Data Engineer - Remote, Latin America
Remote · Ciudad Nezahualcoyotl, México, Mexico
Job Summary
Azure Data Engineer position (Remote, LATAM) focusing on designing, developing, and maintaining ETL data pipelines using Python (PySpark) and Azure Synapse Analytics. Collaborate with data scientists and analysts to deliver high-quality data for insights, build scalable data warehouses, and implement data quality and performance improvements. Responsibilities include extracting data from REST APIs, SQL databases, and CSV files; modeling data with star schemas; optimizing pipelines in Azure Synapse Notebooks and Pipelines; ensuring data security and governance; and maintaining comprehensive documentation. Requires a bachelor’s degree or equivalent experience and strong SQL/PySpark skills, with Azure Synapse, Git/Azure DevOps, and BI tool familiarity as assets.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience
- Certifications related to data engineering or data science (e.g. Azure Data Engineer) are a plus
- 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, Pipelines, Linked Services, and Azure Key Vault
- Ability to write complex SQL queries and optimize performance with SparkSQL and MS SQL
- Knowledge of data integration best practices and tools
- Experience with version control systems (Git, Azure DevOps)
- Strong problem-solving and analytical skills; effective communication and teamwork
- Familiarity with big data technologies, machine learning, and data analysis is preferred
- Experience with data visualization tools (Power BI, Tableau) and Agile methodologies
Desired Qualifications
- Azure Data Engineer certification (preferred)
- Experience with PySpark
- Azure Synapse Analytics
- Notebooks and Pipelines in Azure Synapse
- REST APIs data extraction
- SQL (SparkSQL and MS SQL)
- Git or Azure DevOps
- Power BI or Tableau familiarity
- Agile methodologies familiarity
- Big data technologies knowledge
- Data modeling and data warehousing experience
- Data quality checks and performance tuning
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