Snowflake Data Engineer

Job Description – Snowflake Data Engineer

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.