Description

You will build and maintain data pipelines and systems, optimizing semantic models and table structures for performance and scalability.

This role is on-site.

Responsibilities

• Build and optimize semantic models and table structures for performance and scalability.
• Ensure efficient data pipelines and refresh strategies through collaboration with data engineering teams.
• Leverage Direct Lake and Delta Table integration for high-performance data access and real-time analytics.
• Implement data modeling best practices and perform performance tuning on data assets.

Required Skills

• 5+ years of professional experience in data engineering.
• Expertise with Snowflake.
• Proficiency in Azure Data Factory and Azure Synapse.
• Hands-on experience with Informatica, DBT, and Kafka.
• Strong SQL skills for complex data querying and transformation.
• Experience with Git and version control.
• Familiarity with CI/CD tools and Tabular Editor/TMDL.

Preferred Skills

• Any Graduate education level.

Key Skills

Education

Any Graduate