Snowflake Data Engineer

Simform; Ahmedabad District; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Simform is seeking an experienced Snowflake Data Engineer in India to design, build, and optimize scalable data pipelines on Snowflake. The role requires strong dbt, Dagster, dlt, and Fivetran expertise, plus a Snowflake certification.

You will collaborate with business and engineering teams to ensure data quality, governance, and performance while tackling production issues and enhancing the data platform.

Qualifications

• 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.

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.

Skills

Data engineering

SQL

ELT/ETL pipelines

Data modeling

Data warehousing

Problem solving

Analytics

Tools

Snowflake

dbt

Dagster

dlt

Fivetran

Job description

Job Description:

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.

Requirements: