Infosys is seeking an Azure Data Engineer to design, implement, and optimize scalable data platforms on Azure. You will leverage PySpark, SQL, and Databricks to build robust ETL/ELT pipelines and work with Snowflake for data warehousing.
You will mentor teammates, align data solutions with enterprise governance standards, and collaborate with stakeholders across time zones. Hybrid Mexico location, CDT/EDT schedule flexibility.
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📌 Azure Data Engineer: Build Scalable Pipelines & Governance (Santiago de Querétaro)
🏢 Infosys
📍 Santiago de Querétaro
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