Description

You will design and build scalable data solutions, optimizing semantic models and table structures for performance.

This role is hybrid.

Responsibilities

• Build and optimize semantic models and table structures for scalability.
• Ensure efficient data pipelines and refresh strategies by collaborating with data engineering teams.
• Leverage Direct Lake and Delta Table integration for high-performance data access and real-time analytics.
• Develop and maintain data transformations using DBT and Informatica.

Required Skills

• 5+ years of experience with Snowflake.
• 5+ years of experience with SQL for data querying and transformation.
• Proficiency with Azure Data Factory (ADF) and Azure Synapse.
• Experience with Kafka for data streaming.
• Knowledge of ETL/ELT tools, including Informatica and DBT.
• Familiarity with CI/CD tools and version control using Git.

Key Skills

Education

Any Gradute