Description

Key Responsibilities

• Design, develop, and optimize data models and transformations using dbt following analytics engineering best practices.
• Build and manage scalable cloud data warehouse solutions on Snowflake.
• Develop complex, highâ€`performance SQL queries for data transformation, analysis, and reporting.
• Implement data quality checks, testing, and documentation using dbt tests and exposures.
• Collaborate with data analysts, BI developers, and business stakeholders to translate requirements into analyticsâ€`ready datasets.
• Optimize Snowflake performance using clustering, warehouse sizing, caching, and costâ€`control techniques.
• Manage and maintain data pipelines ensuring reliability, accuracy, and timeliness.
• Implement version control, CI/CD, and deployment workflows for dbt models.
• Troubleshoot data issues and perform root cause analysis across the data stack.
• Ensure adherence to data governance, security, and compliance standards. 

Preferred Qualifications

• Experience integrating Snowflake with BI tools such as Power BI, Tableau, or Looker.
• Exposure to cloud platforms like AWS, Azure, or GCP.
• Knowledge of semiâ€`structured data formats (JSON, Parquet) in Snowflake.
• Understanding of ELT architecture and modern data stack concepts.
• Experience with cost optimization and performance tuning in Snowflake

Key Skills

Education

Any Gradute