Job Description
• Design, build, and maintain scalable data pipelines using Azure Data Factory and Informatica to support batch and near–real‑time data integration from multiple source systems.
 • Develop and optimize ETL/ELT processes across Azure Data Lake, Azure SQL, Synapse, and Databricks, ensuring high performance, data quality, and reliability.
 • Collaborate with architects, analysts, and business stakeholders to translate data requirements into robust, production‑ready data solutions on Azure.
 • Implement data governance, monitoring, error handling, and performance tuning best practices across enterprise data pipelines.
 • Support CI/CD, debugging, and operational support for data workflows, with a focus on scalable, maintainable Azure‑based data solutions.

For this role we are paying between $47-49/per hour.

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