Description

You will build and maintain data pipelines using Snowflake and cloud services.

This role is hybrid.

Responsibilities

• Develop and optimize ETL/ELT processes for efficient data movement.
• Implement and manage data models, including dimensional modeling.
• Write and tune complex SQL queries and stored procedures.
• Manage data workflows using AWS and Azure components.
• Version control code using Git.

Required Skills

• 10+ years of experience in data engineering.
• Expert proficiency in SQL.
• Strong programming skills in Python.
• Hands-on experience with Snowflake, including Snowflake WebUI or Snowsight.
• Familiarity with AWS services (S3, Lambda) and Azure services (Data Factory, Blob, Event Hubs).
• Proven experience with ETL/ELT patterns and Data Modeling.
• Proficiency with Git for version control.

Preferred Skills

• Snowflake certifications (SnowPro Core or Advanced).
• Experience with Infrastructure as Code tools like Terraform or CloudFormation.
• Knowledge of containerization technologies (Docker, Kubernetes).

Key Skills

Education

Any Graduate