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:

6–8 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.

Data Engineer (Python & Snowflake)