Job Description

Position Details

Job Title: Senior Data Warehouse BI Engineer (Snowflake & AWS) Location: Remote Time Zone: PST Employment Type: Full-Time Experience Level: 8-12 years
About the Role

We are looking for a seasoned Senior Data Warehouse Engineer with deep expertise in Snowflake Data Warehouse architecture, multi-tenancy, and large-scale data migrations. This pivotal role will also lead the design and deployment of AWS QuickSight dashboards for internal stakeholders and enterprise customers, transforming cloud-scale data into actionable insights.

The ideal candidate will be responsible for migrating legacy data systems into Snowflake, implementing robust multi-tenant data models, and building secure, scalable analytics layers.

Key Responsibilities

Snowflake Data Warehouse & Migration: Lead the migration from legacy SQL databases to Snowflake. Design and implement multi-tenant data warehouse architecture (RBAC, data partitioning, resource management). Develop and optimize ETL/ELT pipelines using Snowflake and AWS services (Glue, Lambda). Analytics & Visualization (AWS QuickSight): Build, maintain, and scale AWS QuickSight dashboards for business and customer insights. Integrate QuickSight with AWS Cognito for secure, role-based, multi-tenant access. Cloud & Data Engineering: Implement automated data ingestion frameworks using AWS services (S3, Glue, Lambda, Step Functions). Optimize Snowflake performance and cost (clustering, partitioning, caching). Collaborate on CI/CD for data pipelines using GitHub Actions or AWS CodePipeline. Ensure security and compliance (IAM, encryption, audit logging).
Required Skills & Experience

8-12 years of experience in data engineering and analytics. Deep hands-on expertise with Snowflake Data Warehouse (migrations, multi-tenancy, performance tuning). Strong SQL development and data modeling skills (Kimball, Data Vault, Star/Snowflake schemas). Proven experience with AWS QuickSight (dashboards, row-level security, Cognito integration). Experience building cloud-native data pipelines with AWS Glue, Lambda, S3, and Step Functions. Proficiency with CI/CD and Infrastructure-as-Code (Terraform, AWS CDK, or CloudFormation). A strong security and compliance mindset (IAM, encryption, data governance).
Nice-to-Have Skills

Experience integrating Snowflake with other BI tools (Power BI, Tableau, Looker). Familiarity with real-time analytics (Kafka, Kinesis). Exposure to Telecom, Wireless, or Networking data use cases (e.g., network telemetry). Hands-on experience with AI/ML-driven analytics.

How to Apply:

Interested candidates can reach out to our HR team at:
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Phone:

8521008592
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Email:

career@munificentresource.in

Join us and build the foundation for your career -- from anywhere in India!

Apply now and start your professional journey with Munificent Resource Engineering Management Services Pvt. Ltd.

Job Types: Full-time, Permanent

Pay: ?100,000.00 - ?130,000.00 per month

Benefits:

Work from home
Work Location: Remote