Description

You will own the data architecture and product delivery within a Snowflake on Azure environment. You translate business requirements into scalable data products and infrastructure.

Responsibilities

• Develop and optimize data pipelines using Snowflake on Azure to ensure data consistency and performance.
• Implement scalable data models using Data Vault 2.0 methodologies with dbt and Data Vault Builder.
• Design and build data products, including SQL pipelines, Tableau/Power BI dashboards, and analytical reports.
• Automate data workflows and infrastructure management using Python and Terraform.
• Apply Data Mesh architecture principles to design decentralized data products and collaborate with business teams.

Required Skills

• 8-14 years of experience in data engineering roles.
• Expertise in Snowflake on Azure.
• Proficiency in Python and SQL.
• Hands-on experience with Terraform for infrastructure automation.
• Experience with Data Vault 2.0 methodologies and tools like dbt or Data Vault Builder.
• Ability to build dashboards in Tableau or Power BI.
• Knowledge of Data Mesh architecture.
• Proven experience in performance tuning and optimizing data pipelines for scalability.
• Any Graduate degree.

Key Skills

Education

Any Graduate