Required to be onsite 2 days per month; local applicants only.
No sponsorship available.
Job Summary:
- Design develop and implement ETL processes using Azure Data Factory (ADF) Data Flows and Mapping Data Flows.
- Integrate data from multiple sources including SQL Server Azure Blob Storage APIs and third-party systems.
- Develop and maintain Azure-based data pipelines and data warehouses.
- Monitor troubleshoot and optimize ETL jobs to ensure data quality performance and reliability.
- Collaborate with business stakeholders data analysts and technical teams to gather and understand data requirements.
- Implement best practices for data governance security and compliance.
- Automate workflows and optimize large-scale data processing performance.
- Participate in Agile development practices using JIRA or Azure Boards.
- Utilize DevOps tools and practices including CI/CD pipelines and Git for version control and deployment.
- Apply strong knowledge of data modeling data warehousing and cloud architecture.
- Work with data transformation tools such as Power BI Databricks or Python.
- Maintain compliance with required Microsoft Azure certifications (DP-203 AZ-900).
- Bachelors Degree in Computer Science Information Systems or related field required.
Required to be onsite 2 days per month; local applicants only. No sponsorship available. Job Summary: - Design develop and implement ETL processes using Azure Data Factory (ADF) Data Flows and Mapping Data Flows. - Integrate data from multiple sources including SQL Server Azure Blob Storage APIs...
Required to be onsite 2 days per month; local applicants only.
No sponsorship available.
Job Summary:
- Design develop and implement ETL processes using Azure Data Factory (ADF) Data Flows and Mapping Data Flows.
- Integrate data from multiple sources including SQL Server Azure Blob Storage APIs and third-party systems.
- Develop and maintain Azure-based data pipelines and data warehouses.
- Monitor troubleshoot and optimize ETL jobs to ensure data quality performance and reliability.
- Collaborate with business stakeholders data analysts and technical teams to gather and understand data requirements.
- Implement best practices for data governance security and compliance.
- Automate workflows and optimize large-scale data processing performance.
- Participate in Agile development practices using JIRA or Azure Boards.
- Utilize DevOps tools and practices including CI/CD pipelines and Git for version control and deployment.
- Apply strong knowledge of data modeling data warehousing and cloud architecture.
- Work with data transformation tools such as Power BI Databricks or Python.
- Maintain compliance with required Microsoft Azure certifications (DP-203 AZ-900).
- Bachelors Degree in Computer Science Information Systems or related field required.
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