Description

Job Description:-

Key Responsibilities

• Lead the design, development, and implementation of Snowflake-based data warehouse solutions.
• Design scalable data models and enterprise data architectures.
• Develop and optimize ETL/ELT pipelines using modern data integration tools.
• Implement best practices for Snowflake performance tuning, cost optimization, and security.
• Build and maintain data pipelines for batch and real-time data processing.
• Integrate data from multiple on-premises and cloud-based sources.
• Collaborate with business analysts, data engineers, architects, and stakeholders to gather requirements.
• Ensure data quality, governance, lineage, and compliance standards are followed.
• Lead code reviews, technical design sessions, and mentor junior developers.
• Troubleshoot production issues and provide technical leadership throughout the project lifecycle.
• Support CI/CD implementation and DevOps/DataOps practices.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 8+ years of experience in Data Engineering or Data Warehousing.
• 3+ years of hands-on experience with Snowflake.
• Experience leading technical teams and delivering enterprise data solutions.
• Strong knowledge of SQL, data modeling, and database optimization.
• Experience working in Agile/Scrum environments.

Required Technical Skills

• Snowflake Data Cloud
• Advanced SQL
• Snowflake Virtual Warehouses
• Snowpipe
• Streams & Tasks
• Time Travel & Zero Copy Cloning
• Secure Data Sharing
• Materialized Views
• Query Performance Tuning
• Data Modeling (Star Schema, Snowflake Schema)
• ETL/ELT Development
• Python or Java
• Git

Key Skills

Education

Any Graduate