Data Engineer at iOCO

What you’ll do:

• Analyze business requirements to design effective Data/Analytics solutions.
• Develop and maintain data systems using the Microsoft Stack, including MS SQL Server, SSIS, SSRS, SSAS, and Power BI.
• Ensure full application lifecycle support, from design through to deployment and maintenance.
• Contribute expertise in application components, programming languages, databases, and operating systems.
• Implement CI/CD pipelines using Azure DevOps and manage source control with Git.
• Collaborate on design and deployment criteria, focusing on performance, data integrity, usability, and scalability.
• Maintain up-to-date knowledge of best practices in data engineering, analytics, and cloud infrastructure.

Your expertise:

• 8+ years of experience with MS SQL and T-SQL scripting.
• 5+ years of experience with SSIS, SSRS, SSAS, and Power BI.
• 3+ years of experience with DAX.
• Proficiency in Azure Data Factory and Azure Synapse Analytics.
• Experience in CI/CD pipeline deployment using Azure DevOps and version control with Git.
• Experience with Profisee and Purview is advantageous.

Technical stack:

• Microsoft Stack (SSRS, SSIS, SSAS, Power BI)
• MS SQL Server databases
• Azure Data Factory and Azure Synapse Analytics
• Git and Azure DevOps for CI/CD

Qualifications:

• Proven experience in designing scalable and reliable Data/Analytics solutions.
• Strong understanding of data engineering best practices.
• Proficient in data visualization and ETL processes.
• Ability to work collaboratively in a team and communicate effectively with stakeholders.