Job Description
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.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work ev...
• 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.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work ev...
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