Data Engineer - Python / SQL

Role Overview :

We are looking for a skilled Data Engineer with deep expertise in the Data Vault 2.0 modeling framework and strong capabilities in SQL, Python, and DBT to develop scalable, efficient data pipelines.

The ideal candidate will play a key role in designing, building, and maintaining data architectures that empower data analytics and business intelligence teams.

Key Responsibilities :

• Design and develop robust data pipelines using SQL, Python, and DBT, ensuring clean, transformed, and reliable data delivery.
• Implement and optimize Data Vault 2.0 modeling techniques alongside building Star Schemas to support downstream analytics and reporting.
• Build and maintain DBT models that align with Data Vault 2.0 principles and scalable data architectures.
• Work extensively with Snowflake data warehousing platform to ensure data storage and querying efficiency.
• Apply CI / CD best practices for data pipelines to enable continuous integration and deployment, enhancing reliability and agility.
• Leverage version control tools like GitHub and productivity enhancements such as GitHub Copilot for efficient code development and collaboration.
• Collaborate with data architects, analysts, and business stakeholders to gather requirements and translate them into technical specifications.
• Monitor and troubleshoot data workflows to ensure pipeline performance, data quality, and system availability.

Required Skills and Qualifications :

Recommended Experience :

(ref : hirist.tech)