Role & responsibilities

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

- 812 years of experience in data engineering and analytics.




- Deep hands-on expertise with Snowflake Data Warehouse (migrations, multi-tenancy, performance tuning).
- Solid 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.

📌 Sr. Data Warehouse BI Engineer (Ahmedabad)
🏢 Webcreta Technologies
📍 Ahmedabad