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.

Education

Bachelor's or Master's degrees