Senior Data Warehouse BI Engineer
3 days ago
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:
-Phone:
- Email:
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, ₹130,000.00 per month
Benefits:
- Work from home
Work Location: Remote
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