Position Details :

Job Title : Senior Data Warehouse BI Engineer (Snowflake &

- AWS)

Location : Remote

Time Zone : PST

Employment Type : Full time

Experience Level : 8 to 12 years

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 to 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.

📌 Senior Data Warehouse/BI Engineer (India)
🏢 TalentEdge Recruitment Consultants
📍 India