Sr DBT Developer- Chennai- 27th F2F drive
Indexed description
Face to Face Drive on 27th June @ World Trade center, Chennai
Role: Senior DBT Developer
Experince; 7years to 13 years
Notice period : Immediate to 45 days only
Primary Skillset: DBT, Airflow, Python, AWS Glue, Snowflake, Databricks and Data Modelling
WORK Location: Chennai-Work From Office
Drive Address : Perungudi, Chennai, Tamil Nadu 600096
Date and Time: 27th June'26 from 10.30 AM- 3.30PM
Key Responsibilities
Data Modeling & DBT Development
- Develop and maintain DBT models (staging, intermediate, mart layers) following modular design and best practices.
- Implement dbt tests, documentation, sources, macros, and packages.
- Build reusable and scalable data transformation frameworks.
- Design and optimize ELT workflows using DBT integrated with orchestrators (Airflow, Dagster, Prefect, etc.).
- Work with cloud data environments - AWS and Snowflake
- Develop and optimize Snowflake schemas, warehouses, and SQL performance
- Ensure high performance of SQL transformations and warehouse queries.
- Implement and maintain data quality tests within DBT (unique, not null, referential integrity).
- Contribute to version control, CI/CD, documentation standards, and best practices.
- Implement data quality checks, monitoring, and failure handling
- Apply RBAC, secure views, and cost/performance optimization in Snowflake
- Work with analysts and business teams to understand requirements and convert them into scalable data models.
- Support data consumers with well_structured data and documentation (dbt docs).
- Participate in code reviews and provide engineering guidance.
- 8+ years experience in Data Engineering / ELT development.
- Strong SQL proficiency, with experience writing optimized queries.
- 2+ years of Hands_on experience with DBT Cloud.
- Experience with AWS cloud data warehouse: AWS
- Datawarehouse: Snowflake - Develop and optimize Snowflake schemas, warehouses, and SQL performance
- Familiarity with Git, CI/CD pipelines, and modern data stack principles.
- Understanding of data modeling techniques (Kimball, Data Vault, Star/Snowflake
- Experience integrating DBT with orchestrators (Airflow, Dagster, Prefect, etc.).
- AWS Cloud - AWS Glue, S3, Lambda, Step Functions, IAM
- Strong Python and SQL
- Hands-on Snowflake experience (performance, security, cost),;
- Pyspark/Snowpark Programming
- Data Modelling
- Production dbt experience (models, tests, macros)
- Apache Airflow for orchestration
- Solid understanding of ELT, dimensional modeling, and data quality
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