About the Role :

We are looking for experienced Snowflake Data Engineers with strong expertise in modern cloud data platforms. The ideal candidate should have hands-on experience in designing and developing scalable data pipelines using Snowflake, dbt, Dagster, dlt, and Fivetran.

Candidates must hold a valid Snowflake Certification, and strong hands-on experience with dbt is mandatory.

Key Responsibilities :

- Design, build, and maintain scalable data pipelines using Snowflake.

- Develop and optimize data transformation workflows using dbt.

- Build and orchestrate data pipelines using Dagster.

- Implement and manage ELT pipelines using dlt and Fivetran.

- Optimize Snowflake performance, storage, and query execution.

- Collaborate with business and engineering teams to understand data requirements.

- Ensure data quality, governance, security, and documentation.

- Troubleshoot production issues and continuously improve data platform performance.

Required Skills :

- 5+ years of experience in Data Engineering.

- Strong hands-on experience with Snowflake.

- Mandatory Snowflake Certification.

- Strong expertise in dbt (Mandatory).

- Experience with Dagster orchestration.

- Experience with dlt (Data Load Tool).

- Experience with Fivetran.

- Strong SQL skills.

- Experience building scalable ELT/ETL pipelines.

- Knowledge of data modeling, data warehousing, and performance optimization.

- Strong analytical and problem-solving skills.

Good to Have :

- Experience with cloud platforms (AWS, Azure, or GCP).

- Experience with CI/CD for data pipelines.

- Knowledge of Python for data engineering.

- Exposure to modern data lake and warehouse architectures.