Snowflake Admin

ONLY NEED IMMEDIATE JOINERS OR SERVING CANDIDATES.

• Key Responsibilities
• Snowflake Administration
• Administer and maintain Snowflake environments across Development, QA, UAT, and Production.
• Manage users, roles, privileges, warehouses, databases, schemas, and access controls using RBAC principles.
• Monitor Snowflake performance, resource consumption, query execution, and storage utilization.
• Configure and manage security controls, masking policies, row-level security, network policies, and authentication mechanisms.
• Perform platform monitoring, troubleshooting, root cause analysis, and issue resolution.
• Implement and maintain Snowflake governance, data retention, Time Travel, Fail-safe, and cloning strategies.
• Support capacity planning, cost optimization, and warehouse sizing activities.
• Manage environment migrations, deployments, and change management processes.
• Support audit, compliance, and data security requirements.

Data Engineering

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Implement data ingestion frameworks using Snowpipe, Streams, Tasks, Dynamic Tables, and related Snowflake services.
• Build and optimize data transformation logic using SQL, Python, and cloud-native technologies.
• Develop and support ingestion of structured, semi-structured, and unstructured data.
• Create reusable data models, views, stored procedures, and metadata-driven frameworks.
• Collaborate with business stakeholders, analysts, architects, and application teams for solution delivery.
• Support CI/CD implementation and automation of deployment processes.
• Participate in production support, issue resolution, and operational excellence activities.

Required Technical Skills

Snowflake

• Strong experience in Snowflake Administration and Snowflake Data Engineering.

Expertise in:

• Snowflake Warehouses
• Databases & Schemas
• User & Role Management
• RBAC
• Snowpipe
• Streams & Tasks
• Dynamic Tables
• Time Travel & Fail-safe
• Data Sharing
• Cloning
• Performance Tuning
• Cost Optimization
• Monitoring & Governance

Data Engineering

• Advanced SQL development and optimization skills.
• Strong hands-on experience with Python.
• Experience building enterprise-grade ETL/ELT pipelines.
• Strong understanding of dimensional modeling and data warehousing concepts.
• Experience with structured and semi-structured data formats (CSV, JSON, Parquet, XML).