Azure Data Engineer - Remote, Latin America
Remote · Alajuela, Alajuela Province, Costa Rica
Job Summary
ETL Data Engineer responsible for designing, developing, and maintaining data integration processes primarily using Python (PySpark) and Azure Synapse Analytics to ensure accurate and available analytical data. Collaborate with data scientists, analysts, and stakeholders to deliver high-quality data for insights, build scalable data notebooks/pipelines, implement data quality checks, optimize performance, monitor ETL jobs, document data flows, and ensure security/compliance. Must be proficient with Azure Synapse Analytics, SQL (SparkSQL/MS SQL), REST APIs, CSV sources, and data warehousing concepts; experience with data lakes/lakehouses, data cataloging, and visualization tools is a plus.
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) being a plus
- Proven experience in ETL data engineering with Python (PySpark)
- Experience with Azure Synapse Analytics resources including Notebooks and Pipelines
- Ability to write complex SQL queries and work with SparkSQL and MS SQL
- Knowledge of data integration best practices and tools
- Experience with Git (Azure DevOps)
- Strong problem-solving and analytical skills
- Excellent verbal and written communication skills
- 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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