Overview

EY - GDS Consulting - AI And DATA - Snowflake Admin - Senior At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you.

Responsibilities

• 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.

Qualifications

• 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). Cloud Platforms
• Experience with one or more: AWS S3 IAM Glue Lambda EC2 OR Azure ADLS ADF Azure Functions Databricks DevOps & Automation Git/GitHub/Azure DevOps CI/CD pipelines Infrastructure automation concepts Agile delivery methodologies Preferred Skills SnowPro Core Certification.
• Experience with Databricks and PySpark.