Data Engineer with Snowflake exp-Full time-Hybrid

We are seeking a highly skilled Snowflake Data Engineer to design, develop, and support enterprise-grade data warehouse and analytics solutions. The ideal candidate will have strong experience in Snowflake, AWS cloud, and BI reporting tools, along with expertise in building scalable data pipelines and APIs in a fast-paced financial services environment.

Key Responsibilities

• Design, build, and optimize data warehouse solutions using Snowflake.

• Develop and maintain scalable data pipelines in AWS cloud environments.

• Integrate data solutions with downstream reporting tools such as Power BI.

• Build and support Java-based APIs for data access and integration.

• Work with relational databases such as PostgreSQL for structured data storage.

• Implement CI/CD pipelines and follow DevOps best practices for automated deployments.

• Participate in Agile/SCRUM ceremonies and collaborate with cross-functional teams.

• Troubleshoot and resolve performance, scalability, and data quality issues.

• Support mission-critical data applications with high availability and reliability.

• Mentor junior engineers and contribute to architectural discussions and design reviews.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

• 8+ years of experience designing and implementing enterprise data warehouse solutions.

• Strong hands-on expertise in Snowflake data platform.

• Experience with AWS services (S3, Redshift, Glue, Lambda, etc.).

• Experience with Power BI or other BI/analytics reporting tools.

• Proficiency in Java API development.

• Knowledge of PostgreSQL or other relational databases.

• Experience with DevOps practices, CI/CD pipelines, and automated deployments.

• Strong understanding of Agile (SCRUM) methodologies.