SaaS Developer
2 days ago
:
As a SaaS Developer focused on SSAS and OLAP, you will play a critical role in our data warehousing and business intelligence initiatives. You will work closely with data engineers, business analysts, and other stakeholders to ensure the delivery of accurate and timely data insights. Your expertise in SSAS development, performance optimization, and data integration will be essential to your success.
Responsibilities :
Design, develop, and maintain SQL Server Analysis Services (SSAS) models (multidimensional and tabular).
Create and manage OLAP cubes to support business intelligence reporting and analytics.
Implement best practices for data modeling and cube design.
Optimize the performance of SSAS solutions for efficient query processing and data retrieval.
Tune SSAS models and cubes to ensure optimal performance.
Identify and resolve performance bottlenecks.
Integrate data from various sources (relational databases, flat files, APIs) into SQL Server databases and SSAS models.
Develop and implement ETL (Extract, Transform, Load) processes for data integration.
Ensure data quality and consistency across integrated data sources.
Support the development of business intelligence reports and dashboards.
Collaborate with business analysts to understand reporting requirements and translate them into SSAS solutions.
Provide technical support and troubleshooting for SSAS-related issues.
Preferably have knowledge of AWS S3 and SQL Server PolyBase for data integration and cloud-based data warehousing.
Integrate data from AWS S3 into SSAS models using PolyBase or other appropriate methods.
Required Skills & Qualifications :
Experience :
5-8 years of experience as a SQL Developer with a focus on SSAS and OLAP.
Proven experience in designing and developing multidimensional and tabular SSAS models.
Technical Skills :
Strong expertise in SQL Server Analysis Services (SSAS) and OLAP cube development.
Proficiency in writing MDX and DAX queries.
Experience with data modeling and database design.
Strong understanding of ETL processes and data integration techniques.
Experience with SQL Server databases and related tools.
Preferably knowledge of AWS S3 and SQL Server PolyBase.
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