- Design, develop, and maintain data pipelines using Snowflake and dbt.
- Build and optimize ELT processes for large-scale data ingestion and transformation.
- Develop reusable dbt models, macros, tests, and documentation.
- Design dimensional and data warehouse models (Star Schema, Snowflake Schema).
- Optimize Snowflake performance, query tuning, clustering, and cost management.
- Implement data quality checks, monitoring, and governance standards.
- Collaborate with business stakeholders, data analysts, and BI teams to gather requirements.
- Integrate data from multiple sources such as APIs, databases, and cloud storage.
- Support CI/CD implementation for dbt projects using Git and deployment tools.
- Troubleshoot and resolve data pipeline and performance issues.
Technical and Qualified Requirements
- Primary skills: Technology->Data on Cloud-DataStore->Snowflake
Preferred Skills
- Technology->Data on Cloud-DataStore->Snowflake
📌 Snowflake Professional (Bengaluru)
🏢 Infosys
📍 Bengaluru
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