Description

You will design, develop, and maintain scalable data pipelines.

Responsibilities

• Design, develop, and maintain scalable data pipelines using SQL, Python, and PySpark.
• Build and optimize data warehouses leveraging Snowflake for data storage and retrieval.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Monitor and troubleshoot data workflows, ensuring data quality and performance.
• Document data processes and procedures following ITIL best practices.

Required Skills

• 10+ years of experience in data engineering or related roles.
• Strong proficiency in writing complex SQL queries for ETL.
• Experience with Python coding and PySpark frameworks.
• Hands-on experience designing, implementing, and managing data warehouses.
• Deep understanding of Snowflake platform features, architecture, and best practices.
• Experience with ITIL framework, specifically Incident and Problem Management.
• Experience using Servicenow or Jenkins.

Key Skills

Education

Any Gradute