Data Pipeline Architect

About the Role :

We are looking for a highly skilled Data Engineer / Analytics Engineer to design, develop, and optimize scalable data pipelines and analytics solutions. The ideal candidate will have strong expertise in Python, Advanced SQL, DBT, and Snowflake , with a passion for building efficient and reliable data infrastructure that supports business intelligence and analytics needs.

Key Responsibilities :

• Design, develop, and maintain robust data pipelines using Python , DBT , and Snowflake .
• Write and optimize complex SQL queries for data extraction, transformation, and analysis.
• Implement and manage data models in Snowflake to support reporting and analytical workloads.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality data solutions.
• Ensure data quality, integrity, and performance optimization across all data systems.
• Develop and maintain DBT models with modular, testable, and version-controlled transformations.
• Automate and monitor data workflows using modern orchestration tools (e.G., Airflow, Prefect).
• Support data governance and documentation best practices.

Required Skills and Qualifications :