Snowflake Engineer

5+ years

Guugram and Bangalore

Job Summary
We are looking for a highly experienced Snowflake Analytics & Insights Engineer with strong expertise in analytics platforms, warehouse solutions, transformationETL frameworks, and enterprise reporting. The ideal candidate will possess deep knowledge of Snowflake capabilities, advanced SQL development skills, and robust experience in scalable ingestion and transformation processes while partnering closely with business stakeholders to deliver strategic insights.

Roles and Responsibilities for Analytics & Insights Engineer

- Design and implement scalable analytical solutions using the Snowflake Data Cloud platform
- Build and optimize transformation workflows, ingestion pipelines, and enterprise reporting structures
- Develop and maintain advanced SQL scripts, views, stored procedures, and reusable analytical components within Snowflake
- Drive enterprise-wide analytics initiatives through robust modeling and warehouse best practices along with data preparation, analytics data organization, data schema testing, and enterprise data product management.
- Build and support scalable ETL workflows, ingestion pipelines, and transformation processes
- Perform analytical data manipulation by writing complex SQL scripts, creating views, and optimizing queries to support reporting and business analytics needs.
- Exposure with data products development, support with SCD (Slowly Changing Dimensions) ,CDC (Change Data Capture) ,Dimensional and relational modeling techniques , Enterprise warehouse frameworks




- Perform detailed data quality checks, reconciliation, validation, and assessment activities
- Deliver high-performing analytical solutions with strong focus on scalability, reliability, and optimization
- Design and maintain analytical data models to enable scalable reporting, efficient data consumption, and business insight generation.
- Develop, design, and enhance interactive dashboards and reports using Microsoft Power BI by translating client requirements into innovative BI solutions.
- Leverage Snowflake features such as Virtual Warehouses , Snowpipe , Streams & Tasks , Time Travel , Secure Views , Data Sharing , Performance optimization techniques
- Participate in architecture discussions and recommend best practices for analytics modernization initiatives
- Collaborate with clients, business users, and technical teams to gather analytics requirements and deliver strategic insights for decision-making.
- Ensure adherence to best practices in data governance, analytical data organization, reporting standards, and cross-functional project delivery.

Candidate Profile:

- 5-9 years of experience with Snowflake, Microsoft Power BI, SQL, analytical data modeling, data visualization, enterprise data products,



and analytics engineering frameworks.
- Proven experience as an Analytics Engineer with strong hands-on expertise in Snowflake for analytical data preparation, data manipulation, schema validation/testing, and working with data products.
- Strong proficiency in SQL scripting including writing complex queries, creating views, data transformation logic, performance optimization and Large-scale ingestion and transformation processes
- Solid understanding of analytical data models, data modeling concepts, data organization frameworks, and enterprise analytics architecture.
- Strong troubleshooting, tuning, and performance optimization capabilities
- Expertise in Microsoft Power BI including dashboard development, DAX, data modeling, and advanced visualization techniques.
- Good to have experience in Insurance Analytics, Financial Analytics, or strategic analytics and insights delivery for enterprise clients.
- Excellent communication and stakeholder management skills with the ability to work effectively across cross-functional business and technical teams.
- Exposure to modern cloud analytics ecosystems and enterprise transformation initiatives
- Snowflake certifications preferred
- Experience working in Agile delivery environments

Domain Expertise : Good to have

1. Prior experience in the Insurance domain
2. Good understanding of Finance processes within Insurance
3. Familiarity with insurance reporting, premium, claims, policy, and financial data structures is an added advantage

📌 Snowflake Engineer (Haryana)
🏢 Crescendo Global Leadership Hiring India
📍 Haryana