Description

You will design, develop, and manage enterprise-scale data systems and Snowflake solutions.

This role is hybrid.

Responsibilities

• Lead all phases of the software development lifecycle for Snowflake solutions, from planning to QA.
• Build and maintain production-ready data ingestion and processing pipelines.
• Collaborate with engineering teams to implement optimal data architectures and ensure platform scale and uptime.
• Troubleshoot incidents, perform root cause analysis, and implement preventive measures.
• Maintain high standards for code quality, thoughtful design, and performance engineering.

Required Skills

• 8-10 years of experience designing and developing data solutions in enterprise environments.
• 5+ years of hands-on experience with the Snowflake platform.
• Expertise in SQL, including analytical functions, and Python development.
• 3+ years of experience building data pipelines using Spark and Scala.
• Experience with orchestration tools such as Airflow, Informatica, or Automic.
• Proficiency in Shell scripting and JavaScripting.
• Practical experience with CI/CD, automated testing, and performance engineering.
• Strong understanding of metadata, data lineage, and Git.
• Experience using Confluence and Jira for project tracking and documentation.

Key Skills

Education

Any Gradute