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.
8+ years of experience in Data Engineering / Cloud Data Platforms.
Strong expertise in Google Cloud Platform BigQuery, Snowflake, and cloud-native data solutions.
Hands-on experience in ETL/ELT pipeline development and automation.
Proficient in Python scripting, SQL, and CI/CD integration.
Experience in data modelling, data warehousing, and analytics solutions.
Good understanding of IAM, security policies, and access management in Google Cloud Platform/Snowflake.
Excellent communication and stakeholder management skills.
Prior experience in onsite/client-facing roles is preferred.
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