Data Engineer (Python & Snowflake)

Responsibilities:

• Design, develop, and maintain data pipelines, SQL queries, and stored procedures to support data integration and analytics.
• Build and optimize data processing workflows using Snowflake and Python.
• Collaborate with business stakeholders to gather requirements and translate them into scalable data solutions.
• Support DevSecOps initiatives, including automation and CI/CD pipeline implementation.
• Contribute to Infrastructure as Code (IaC) and platform engineering practices.
• Work with containerized environments and modern application platforms to enable scalable deployments.
• Support the development and enhancement of enterprise data platforms.
• Promote engineering best practices, standards, and continuous platform improvements.

Requirements:

• 68 years of experience in software engineering or data engineering.
• Strong hands-on experience with SQL development and stored procedures.
• Experience with Snowflake and Python for data engineering and data processing.
• Familiarity with DevSecOps practices, automation tools, and CI/CD pipelines.
• Experience with Infrastructure as Code (IaC) tools and methodologies.
• Exposure to container technologies and modern application platforms.
• Strong stakeholder management skills and ability to translate business needs into technical solutions.