Description

You will architect and implement advanced data solutions using Snowflake on AWS to create scalable and secure data environments.

This role is on-site.

Responsibilities

• Design and orchestrate data acquisition pipelines using AWS Glue for ETL/ELT.
• Develop and maintain robust data models and pipelines integrating multiple data sources.
• Optimize and tune Snowflake environments for performance, cost, and scalability.
• Lead migration of workloads from legacy platforms to Snowflake.
• Document architecture, data flows, and transformation logic for team transparency.

Required Skills

• 8+ years of experience in data architecture and engineering.
• Expertise in Snowflake, including hands-on delivery as an enterprise capability.
• Proficiency in SQL and data modelling for ETL/ELT processes.
• Experience architecting solutions using Snowflake on AWS.
• Demonstrated experience with AWS Glue for ETL/ELT.
• Experience with Apache Airflow for workflow automation.
• Familiarity with DBT for managing complex data transformations.
• Knowledge of Python and Java.
• Experience with cloud computing principles.

Key Skills

Education

Any Gradute