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.
