Simform Solutions - Senior Data Engineer - Snowflake/Data Build Tool

Simform

Ahmedabad District

On-site

INR 1,200,000 - 2,800,000

Full time

14 days+

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Job summary

Simform is seeking an experienced Snowflake Data Engineer in Ahmedabad, India, to design and develop scalable data pipelines using Snowflake and dbt. The role requires hands-on experience with Dagster, dlt, and Fivetran, plus a valid Snowflake Certification and strong SQL skills.

The ideal candidate will optimize data models and ELT/ETL workflows, collaborate with engineering teams, and ensure data governance, security, and quality across the 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.
  • Strong analytical and problem-solving skills.

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

Snowflake
dbt
Dagster
dlt
Fivetran
SQL
ELT pipelines
Data modeling

Tools

Dagster
dlt
Fivetran
Snowflake

Job description

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.

(ref:hirist.tech)

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