Description

You will lead the technical implementation of enterprise data warehouse and data mart solutions.

Responsibilities

• Design, build, and optimize data warehouse structures using star and snowflake schemas.
• Develop scalable ETL pipelines to integrate data from multiple source and client systems.
• Implement data quality, cleansing, validation, and auditing procedures to ensure integrity.
• Collaborate with analysts to translate business requirements into technical specifications.
• Support database performance tuning, historical data loading, and schema versioning.

Required Skills

• 8+ years of experience developing and maintaining enterprise data warehouses.
• Recent experience with Azure Fabric and SQL Server.
• Strong proficiency in SQL and data modeling techniques including dimensional modeling and normalization.
• Hands-on experience with ETL tools such as SSIS, Azure Data Factory, or Informatica.
• Experience with modern platforms like Microsoft SQL Server, Snowflake, or Azure Synapse.
• Proficiency with Power BI or other reporting and visualization tools.
• Knowledge of data governance, metadata management, and data quality frameworks.
• Bachelor's degree in Computer Science, Information Systems, or a related field.

Preferred Skills

• Experience with Microsoft Fabric or similar cloud data platforms.

Key Skills

Education

Bachelor's degree