Data Engineer Operations

Role Purpose We are looking for a Data Engineer Operations to manage and enhance the data infrastructure supporting our Operations platforms (OMS & WMS) within Snowflake. The role will own Data Vault architecture, ensure reliable data pipelines, and act as the primary technical liaison between the Operations business and Central BI. The position will also support the implementation of AI-ready data pipelines. Key Responsibilities Maintain and optimize Operations data infrastructure, pipelines, and orchestration using Airflow . Develop and maintain Data Vault 2.0 models and the Snowflake data warehouse. Build and manage CI/CD deployment processes using Git. Partner with Central Data Engineering and Architecture teams to ensure alignment with enterprise standards. Enable AI initiatives by developing scalable data pipelines for AI/ML use cases. Deliver clean, reliable data layers that empower the Operations Data Analytics team to focus on reporting and business insights. Candidate Profile 3+ years of experience in Data Engineering. Strong expertise in Snowflake, dbt, and Data Vault 2.0 . Hands-on experience with Airflow, Git, and CI/CD . Exposure to AI/ML data pipelines is a plus. Experience with OMS/WMS or e-commerce operational data is preferred. Strong communication and stakeholder management skills. CV-hr@storytailors.co.in Role Purpose We are looking for a Data Engineer Operations to manage and enhance the data infrastructure supporting our Operations platforms (OMS & WMS) within Snowflake. The role will own Data Vault architecture, ensure reliable data pipelines, and act as the primary technical liaison between the Operations business and Central BI. The position will also support the implementation of AI-ready data pipelines. Key Responsibilities Maintain and optimize Operations data infrastructure, pipelines, and orchestration using Airflow . Develop and maintain Data Vault 2.0 models and the Snowflake data warehouse. Build and manage CI/CD deployment processes using Git. Partner with Central Data Engineering and Architecture teams to ensure alignment with enterprise standards. Enable AI initiatives by developing scalable data pipelines for AI/ML use cases. Deliver clean, reliable data layers that empower the Operations Data Analytics team to focus on reporting and business insights. Candidate Profile 3+ years of experience in Data Engineering. Strong expertise in Snowflake, dbt, and Data Vault 2.0 . Hands-on experience with Airflow, Git, and CI/CD . Exposure to AI/ML data pipelines is a plus. Experience with OMS/WMS or e-commerce operational data is preferred. Strong communication and stakeholder management skills. CV-hr@storytailors.co.in