Offer summary

Qualifications:

10-12 years of experience in Azure Analysis Services, Proven experience in Azure data solutions, Proficiency in SQL and data modeling techniques, Hands-on experience with Power BI and Azure analytics tools, Experience in Snowflake, Matillion ETL tools is preferred.

Key responsabilities:

Develop and maintain data models based on business requirements

Design Azure Analysis Services models for multidimensional and tabular data

Implement ETL processes using Azure Data Factory or Azure Databricks

Collaborate with analysts to translate requirements into insights

Provide technical leadership in data architecture best practices

Job description

1. 10-12 years of expertise in Azure Analysis Services (AAS) plays a crucial role in designing and implementing data solutions on the Azure platform, with a focus on analytics and business intelligence. 2. Develop and maintain data models, ensuring they align with business requirements and support analytical workloads. 3. Design and implement Azure Analysis Services models for multidimensional and tabular data. 4. Optimize and tune AAS models for performance and efficiency. 5. Collaborate with business analysts and data scientists to translate business requirements into actionable insights. 6. Implement robust ETL processes using Azure Data Factory, Azure Databricks, or similar tools. 7. Ensure seamless integration of data from various sources into the Azure data platform. 8. Ensure compliance with data governance and regulatory requirements. 9. Implement monitoring solutions to track the performance of data solutions. 10. Continuously optimize data solutions for improved efficiency and cost-effectiveness. 11. Work closely with cross-functional teams, including data engineers, developers, and business stakeholders. 12. Provide technical leadership and guidance on best practices in data architecture and analysis.
Primary (Must have skills)*	1.Proven experience in designing and implementing data solutions on the Azure platform. 2. Specific expertise in Azure Analysis Services (AAS). 3. Proficiency in SQL, T-SQL, and data modeling techniques. 4. Hands-on experience with Azure Analysis Services, Power BI, and other Azure analytics tools. 5. Strong understanding of data warehousing concepts and best practices. 6. Experience in Snowflake, Matillion ETL tools is preferred
Secondary Skills (Good To have)*	Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Azure AI Engineer Associate, or related certifications.
Soft skills/other skills (If any)	Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work collaboratively in a team environment.