EY - GDS Consulting - AI And DATA - Snowflake Admin - Senior

Ernst & Young Advisory Services Sdn Bhd; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EY - GDS Consulting seeks a Senior Snowflake Administrator / Data Engineer to support enterprise data platforms and optimize Snowflake environments in a cloud-based setup.

The role blends platform administration with data engineering, including ingestion, ETL/ELT development, pipeline automation, and modern data solutions, with collaboration across stakeholders to deliver scalable, reliable data services.

Qualifications

• Expertise in Snowflake administration across multiple environments (Dev/QA/UAT/Prod).
• Strong Data Engineering capabilities including ingestion, ETL/ELT development, and pipeline automation.
• Experience with RBAC, security controls, and governance in cloud data platforms.
• Hands-on Python development and advanced SQL for transformations.

Responsibilities

• Administer and optimize Snowflake environments and warehouses.
• Design and implement scalable ETL/ELT pipelines and data ingestion frameworks.
• Monitor performance, cost, and usage; enforce security policies and access controls.
• Collaborate with stakeholders to deliver data solutions and CI/CD for pipelines.

Skills

Snowflake Administration

Data Engineering

ETL/ELT Development

Python

SQL

Performance Tuning

Cost Optimization

Monitoring & Governance

RBAC

Automation

Data Ingestion

Data Modeling

Education

B.Tech / B.E. in CS/IT/Electronics

Tools

Snowflake

Databricks

Python

Snowpipe

Streams

Tasks

Time Travel

Azure Data Factory

AWS Glue

Snowflake SQL

Job description

EY - GDS Consulting - AI And DATA - Snowflake Admin - Senior

Other locations: Primary Location Only

Date: Sep 17, 2026

Requisition ID: 1735200

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. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Job Description: Snowflake Administrator / Data Engineer

Position Title

Snowflake Administrator / Senior Data Engineer

Experience

• 5-7 Years

Education

• Bachelor of Technology (B.Tech) / Bachelor of Engineering (B.E.) in Computer Science, Information Technology, Electronics, or related discipline

Position Summary

• We are seeking a highly motivated and hands-on Snowflake Administrator with strong Data Engineering capabilities to support and enhance enterprise data platforms. The ideal candidate will be responsible for Snowflake platform administration, security, governance, performance optimization, and operational support while also contributing to data engineering initiatives including data ingestion, ETL/ELT development, pipeline automation, and cloud data platform modernization.
• This role requires a blend of platform administration and development expertise, making it ideal for professionals who can manage Snowflake environments while also participating in the design and implementation of scalable data solutions.
• ________________________________________
• 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.
• 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.
• 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
• 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).

Experience with one or more:

• AWS
  • S3
  • IAM
  • Glue
  • Lambda
  • EC2
• OR
  • Azure
    • ADLS
    • ADF
    • Azure Functions
    • Databricks

DevOps & Automation

Preferred Skills

• Experience with Databricks and PySpark.
• Experience with AWS Glue or Azure Data Factory.
• Knowledge of data governance and data quality frameworks.
• Exposure to AI/ML-enabled data platforms.
• Experience supporting Life Sciences, Healthcare, Banking, Retail, or Manufacturing domains.
• Exposure to Cortex AI or Snowflake AI capabilities.

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.
• Ability to work independently and lead technical discussions.
• Strong documentation and knowledge‑sharing capabilities.
• Ability to manage priorities in a fast‑paced environment.
• The candidate should be comfortable spending approximately:
• 50% Snowflake Administration
• Security
• Governance
• Performance
• Monitoring
• Cost Management
• ETL/ELT Development
• Data Modeling
• Automation

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