Data Engineer

Experience: 8–10 Years

Required Skills:Snowflake,DBT Framework,Linux,Power BI

Key Responsibilities

Build and maintain modular DBT models (staging, intermediate, and marts) following software engineering best practices.

Develop and implement DBT schema tests, custom tests, and reusable packages to ensure data quality and reliability.

Maintain DBT documentation and DAGs to provide clear data lineage and business definitions.

Design, develop, and optimize Snowflake schemas, including data ingestion using Snowpipe, Streams, and Tasks.

Optimize Snowflake Virtual Warehouses for cost\-efficient and high\-performance query execution.

Implement RBAC, security masking policies, and secure data sharing within Snowflake.

Build and maintain scalable ETL/ELT pipelines and data ingestion frameworks across heterogeneous data sources.

Implement data modeling techniques such as Dimensional Modeling and Star Schema.

Develop and maintain CI/CD pipelines for DBT deployments and Snowflake schema changes using GitHub Actions, GitLab CI, or DBT Cloud. Troubleshoot and optimize SQL queries, DBT models, and data pipeline performance.

Pay: ₹100,000\.00 \- ₹200,000\.00 per month

Application Question(s)

• How many Years Experience in Snowflake?
• How many Years Experience in Powerbi?
• How many Years Experience in Linux?
• CCTC?
• ECTC?
• Notice period?

Work Location: Remote