Description

Design and maintain scalable data pipelines and warehousing solutions using Snowflake and cloud platforms.

This role is on-site.

Responsibilities

• Build and optimize ETL/ELT processes and data pipelines within Snowflake.
• Write advanced SQL and Python code for data transformation and analysis.
• Implement and manage data warehousing concepts, including star and snowflake schemas.
• Tune query performance and manage cloud infrastructure on AWS, Azure, or GCP.
• Utilize Git for version control and adhere to DevOps best practices.

Required Skills

• Snowflake development and administration.
• Advanced SQL and Python programming.
• Cloud platform experience (AWS, Azure, or GCP).
• Data warehousing and data modeling (star/snowflake schemas).
• ETL/ELT tool expertise and data pipeline design.
• Git version control.
• Performance tuning and query optimization.
• Bachelor's or Master's degree in Computer Science, IT, or related field.
• 3–8 years of experience in Data Engineering or Snowflake development.

Preferred Skills

• Experience with Apache Airflow, Azure Data Factory, or dbt.
• Knowledge of Data Lake architecture and AI/ML data pipelines.
• Familiarity with real-time processing (Kafka, Spark) and CI/CD pipelines.

Key Skills

Education

Bachelor's or Master's degrees