We are hiring for Senior Data Engineer Transformations dbt (Snowflake)
Location: Chennai, India (Office-based)
Employment Type: Full time
Contract Experience: 5 7 Years
Time Zone: US Time Zone Overlap (3 4 hours daily)
Client Environment: US-based enterprise data platform
Role Overview

We are looking for a Senior Data Engineer Transformations dbt to join a Snowflake-centric enterprise data platform team.

This role is deeply hands-on and focuses on transforming raw Snowflake data into trusted, analytics-ready datasets using advanced SQL and dbt best practices. You will own data

modeling standards, transformation reliability, and data quality while collaborating closely with analytics engineers, SQL developers, and US-based stakeholders.

This is not a support role. We are looking for someone who has built and owned production- grade transformation pipelines in real-world enterprise environments.
Key Responsibilities

Data Transformation dbt Ownership
- Design, develop, and maintain dbt-based transformation pipelines
- Own fact and dimension modeling, including:




- Incremental models
- Slowly Changing Dimensions (SCD)
- Aggregations and rollups
- Establish and enforce dbt project structure, naming conventions, and modeling standards
- Manage transformation dependencies and execution ordering
Data Quality Trust
- Implement dbt tests, validations, and reconciliation checks
- Ensure metric definitions are consistent, accurate, and trusted
- Proactively identify and resolve data quality issues
- Align transformed data with upstream source systems and business rules
Snowflake Optimization
- Optimize SQL transformations for performance and cost
- Tune Snowflake warehouse usage for transformation workloads
- Reduce unnecessary compute usage through efficient SQL and dbt design
Analytics Enablement
- Deliver clean, well-documented datasets for BI tools and analytics engineers
- Ensure datasets are semantic-ready for reporting and dashboards
- Support downstream analytics an

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