Description

Build and maintain scalable data infrastructure and ETL pipelines.

This role is on-site.

Responsibilities

• Design and develop scalable ETL pipelines using Snowflake, DBT, and AWS services.
• Collaborate with data scientists and analysts to implement high-quality data solutions.
• Optimize data workflows for performance, scalability, and reliability.
• Troubleshoot data issues and ensure data integrity across systems.
• Stay current with emerging data engineering technologies and best practices.

Required Skills

• 13+ years of professional experience in data engineering.
• Deep expertise in Snowflake and Snowpark.
• Proven hands-on experience with DBT (Data Build Tool) for data modeling and transformation.
• Strong proficiency in Python for data pipelines and automation.
• Experience with core AWS Services, including Airflow, Lambda, and Glue.
• Expertise in designing and implementing ETL Pipelines.
• Familiarity with Fivetran (HVR) integration.
• Any Graduate education.

Preferred Skills

• Experience with Fivetran (HVR) integration.

Key Skills

Education

Any Graduate