Senior Snowflake Data Engineer || Lead Data Engineer ( Snowflake )

Key Responsibilities

• Design, develop, and optimize data pipelines using Snowflake and ETL/ELT tools.
• Work with Snowflake features, including Streams, Tasks, Snowpipe, UDFs, and Stored Procedures.
• Develop and optimize complex SQL queries and data transformation workflows.
• Build automation scripts and data pipelines using Python.
• Implement data modeling techniques, including Star Schema, Snowflake Schema, and Data Vault.
• Integrate Snowflake with AWS, Azure, or GCP cloud platforms.
• Manage workflow orchestration using Airflow, Control-M, or similar tools.
• Implement data governance, security, version control, and CI/CD best practices.
• Collaborate with business stakeholders and technical teams to deliver scalable data solutions.

Required Skills

• 10+ years of overall Data Engineering experience, including 5+ years of hands-on Snowflake experience.
• Expert-level SQL and strong Snowflake development skills.
• Experience with dbt, Informatica, Talend, Matillion, or similar ETL/ELT tools.
• Proficiency in Python or another programming language.
• Strong knowledge of data modeling, cloud platforms, and workflow orchestration.
• Experience with Git, CI/CD, data governance, and data security.

Education

Any Graduate in Any Specialization