Job Description:

- Design, develop, and maintain scalable data pipelines using Azure Data Factory and Snowflake.

- Build and optimize ETL/ELT workflows for structured and semi-structured data.

- Develop and manage Snowflake objects including Warehouses, Databases, Schemas, Views, Stored Procedures, Streams, Tasks, and Snowpipe.

- Implement data ingestion and transformation frameworks from multiple source systems.

- Develop CDC and incremental data loading solutions.

- Design and maintain Star Schema and Snowflake Schema data models.

- Implement data quality, validation, reconciliation, and monitoring processes.

- Perform Snowflake performance tuning and optimize data processing.

- Develop interactive Power BI dashboards, reports, and semantic models.

- Create reusable datasets, KPIs, metrics, and executive reporting solutions.

- Collaborate with business stakeholders to understand analytical and reporting requirements.

- Troubleshoot pipeline failures and resolve production issues.

- Participate in CI/CD deployments, release management, and production support.

- Follow best practices for data security, governance, documentation, and maintainability.

📌 Snowflake Data Engineer (Pune)
🏢 Acme Services Private
📍 Pune