Description

You will design, build, and manage ETL data pipelines to support real-time decision-making.

Responsibilities

• Build and manage data pipelines using Airflow for orchestration and Python for scripting.
• Implement data synchronization between on-premises Oracle databases and Snowflake using CDC tools.
• Develop and optimize data models to support real-time analytics and insights.
• Optimize data flows and processing to ensure efficient system operation.
• Integrate data systems across cross-functional teams.

Required Skills

• 10+ years of experience in data engineering.
• 5+ years of experience specifically as a Snowflake Data Engineer.
• Expertise in SQL, including writing complex queries and performance tuning.
• Proficiency in Python for data processing tasks.
• Hands-on experience with Oracle and Snowflake environments.
• Experience using Airflow to manage data pipeline workflows.
• Practical knowledge of ETL/ELT tools.
• Understanding of cloud infrastructure, specifically Azure integration with Snowflake.
• Any Graduate degree.

Key Skills

Education

Any Graduate