Description

You will build and optimize scalable data warehouse solutions within a Snowflake environment.

This role is on-site.

Responsibilities

• Design and develop Snowflake data warehouse solutions for performance and reliability.
• Implement ETL/ELT processes using DBT, Airflow, and Python.
• Write complex SQL queries, stored procedures, and scripts for data transformation and reporting.
• Monitor and troubleshoot data pipelines to ensure high availability.
• Apply data security, compliance, and governance best practices within Snowflake.

Required Skills

• 6+ years of professional experience in data engineering.
• Strong proficiency in SQL and experience writing stored procedures.
• Hands-on expertise with Snowflake architecture, performance tuning, and cost optimization.
• Experience with DBT for data transformation and modeling.
• Experience with orchestration tools like Apache Airflow.
• Strong programming skills in Python.
• Solid understanding of ETL processes and data integration techniques.
• Bachelor's degree.

Preferred Skills

• Experience with Apache Spark, Hadoop, or Databricks.
• Familiarity with AWS, Azure, and their respective data services.

Key Skills

Education

Bachelor's degree