Google Cloud Platform Data Enginner

Cloud Platform Proficiency: Strong experience with Google Cloud Platform (Google Cloud Platform), including managing data access, subscriptions, and integration with Snowflake.

Data Architecture and Modelling: Ability to design scalable, efficient data models and pipelines that support analytics and business intelligence.

Data Integration, ETL/ELT, and Automation: Skilled in designing and implementing data ingestion, transformation, and loading processes using tools compatible with Snowflake, with a strong emphasis on automation to reduce manual effort.

Python and Scripting Skills: Proficiency in Python programming for automation, including writing reusable scripts, leveraging libraries such as Netmiko and PyATS for network and data automation, and integrating Python-based workflows into CI/CD pipelines.

Security and Access Management: Knowledge of data access controls, role-based permissions, and compliance requirements within Snowflake and Google Cloud Platform environments. Regards,