Snowflake Data Engineer

Simform - Product Engineering Company; Ahmedabad District; Presencial; INR 1.200.000 - 2.400.000; Jornada completa

Descripción de la vacante

Simform - Product Engineering Company is seeking a Snowflake Data Engineer in Ahmedabad to design and implement scalable data pipelines. You will work with Snowflake, dbt, Dagster, dlt and Fivetran to deliver robust ELT processes and optimize performance.

The role requires strong SQL skills, 5+ years in data engineering, and a valid Snowflake certification. You will collaborate with cross-functional teams to meet data requirements and ensure governance and security.

Formación

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Snowflake and certification.
• dbt is mandatory.
• Experience with Dagster, dlt and Fivetran.
• Strong SQL skills and ELT/ETL pipeline development.
• Knowledge of data modeling, warehousing, and performance optimization.

Responsabilidades

• 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 improve data platform performance.

Conocimientos

Analytical thinking

Problem-solving

Team collaboration

Communication

Strong SQL skills

Experience in data engineering

Herramientas

Snowflake

dbt

Dagster

dlt

Fivetran

SQL

Descripción del empleo

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.