Description

Build and optimize cloud data storage and processing solutions using Snowflake.

This role is hybrid.

Responsibilities

• Design and implement data pipelines and ETL processes.
• Develop reusable stored procedures and scripts for data processing.
• Collaborate with teams to define data requirements and deliver solutions.
• Ensure data integrity and security across all workflows.
• Monitor and troubleshoot pipelines to guarantee accurate data flow.

Required Skills

• 5+ years of experience in data engineering or a related role.
• Proven expertise with Snowflake data warehousing.
• Strong proficiency in SQL and database management.
• Hands-on experience with ETL tools (Informatica, Talend, dbt, or custom frameworks).
• Knowledge of dimensional modeling and performance tuning.
• Experience with AWS, Azure, or Google Cloud.
• Familiarity with Git and CI/CD for data pipelines.
• Experience with Hadoop, Spark, or Kafka.
• Bachelor's degree in Computer Science, Engineering, or related field.

Preferred Skills

• Experience with Python or other scripting languages.
• Knowledge of data visualization tools such as Tableau or Power BI.

Key Skills

Education

Bachelor's degree