Description

You will lead the design and implementation of scalable, customer-facing data solutions and end-to-end pipelines.

This role is hybrid.

Responsibilities

• Design and implement data pipelines from ingestion to consumption using cloud environments and DBT.
• Build resilient data solutions managing varied data volume, completeness, latency, and quality.
• Lead, train, coach, and mentor a distributed engineering team.
• Review complex SQL queries and oversee database table design and data modeling.
• Break down complex problems to plan and execute workable technical solutions.

Required Skills

• 8+ years of experience in Data Warehouse design and development.
• Minimum 2+ years of hands-on experience with Snowflake and DBT.
• Proficiency in Python and SQL.
• Experience building data pipelines, data wrangling, and transformations within Snowflake.
• Strong expertise in data modeling and database development.
• Experience working in Agile/SCRUM environments with global teams.
• Bachelor’s or Master’s degree in Engineering, Computer Science, or a related technology field.

Preferred Skills

• Hands-on exposure to APIs for building event-driven architectures and microservices.
• Reporting and visualization tool expertise.

Key Skills

Education

Bachelor’s or master’s degree