About The Position

We are looking for experienced Snowflake Data Engineers with strong expertise in modern cloud data platforms. The role involves designing and developing scalable data pipelines using Snowflake, dbt, Dagster, dlt, and Fivetran. Candidates must hold a valid Snowflake Certification, and hands-on experience with dbt is mandatory.

Requirements

  • 5+ years of experience in Data Engineering.
  • Strong hands-on experience with Snowflake.
  • Valid 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.

Nice To Haves

  • 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.

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.
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