Description

You will design and implement scalable data solutions to support business intelligence and analytics efforts.

Responsibilities

• Design and develop complex SQL queries, stored procedures, and functions for data extraction and transformation.
• Build and maintain scalable data warehouse solutions using Snowflake infrastructure.
• Implement data warehousing best practices, including fact table modeling, handling changing dimensions, and data integrity checks.
• Extract and integrate data from Salesforce Data Cloud, Salesforce Workbench, and Salesforce objects.
• Develop CDS Views and work within SAP Datasphere for data modeling and extraction.
• Deploy Power BI dashboards, reports, datasets, and data models to support decision making.

Required Skills

• 5+ years of experience in data engineering or business intelligence roles.
• Advanced SQL development including stored procedures, complex joins, window functions, and performance tuning.
• Hands-on experience with Snowflake architecture and tools.
• In-depth understanding of data warehousing concepts such as star/snowflake schemas, SCDs, and fact/dimension tables.
• Proven experience with Salesforce data extraction and manipulation.
• Hands-on experience with SAP Datasphere and Core Data Services (CDS) Views.
• Solid experience with Power BI report creation, data modeling, and publishing.
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

Preferred Skills

• Experience building data loading pipelines from SAP S/4HANA, Salesforce, and FTP sources.
• Familiarity with S/4HANA data models and CDS view architecture.
• Experience with Microsoft Fabric for data architecture and analytics configuration.
• Certifications in Snowflake, Power BI, or SAP Analytics.

Key Skills

Education

Bachelor's or Master's degrees