Senior Data Engineer - Snowflake

2 Weeks ago • 5-8 Years • Data Analyst

Job Summary

Job Description

This is a remote Senior Data Engineer (Snowflake) position. Responsibilities include designing, developing, and optimizing data solutions using Snowflake, SQL, and DBT, ensuring smooth deployment via Azure DevOps. The role involves collaborating with cross-functional teams in an Agile environment to build and maintain scalable ETL pipelines and cloud-based data solutions using AWS or Azure. Senior engineers are expected to independently resolve tasks, design technical solutions, understand client infrastructure, and serve as Snowflake & dbt experts. They will provide guidance to less experienced engineers, support their development, and actively participate in technical discussions. Proactive communication regarding obstacles and challenges is crucial.
Must have:
  • In-depth Snowflake, SQL knowledge
  • Git experience
  • dbtCloud or training
  • Snowflake Architecture knowledge
  • Agile methodologies
  • Azure DevOps knowledge

Job Details

This is a remote position.

About the Role

We are seeking a Senior Data Engineer (Snowflake) to join our dynamic data engineering team. In this role, you will be responsible for designing, developing, and optimizing data solutions using Snowflake, SQL, and DBT while ensuring smooth deployment through Azure DevOps. You will collaborate with cross-functional teams in an Agile environment to build and maintain scalable ETL pipelines and cloud-based data solutions using AWS or Azure.

Required knowledge:  

  • In-depth knowledge of Snowflake, SQL, Git  
  • Basic experience with dbt Cloud or confirmed training  
  • Snowflake Architecture knowledge  
  • Knowledge of agile implementation methods and common project tools (e.g., Azure Devops, Jira)  

 

Role’s expectations:  

A Senior Data Engineer should meet the same expectations as Data Engineer and in addition should be able to: Resolve assigned tasks on their own  

  • Design and implement technical solutions for assigned tasks on their own based on our coding best practices  
  • Be aware of Client’s infrastructure setup and data pipeline  
  • Be a technical expert on Snowflake & dbt development  
  • Create performant solutions following the Snowflake performance best practices  

Provide guidance for less experienced Data Engineers 

  • Guide less experienced Data Engineers in scripting and implementing of solutions  
  • Support less experienced Data Engineers in getting to know our best practices, infrastructure, and data pipeline  
  • Answer open technical questions from less experienced Data Engineers  

 

Actively take part in technical discussions  

  • Raise concerns or any obstacles on tickets, bugs, or suggested solutions proactively  
  • Discuss technical implementations with the Lead Data Engineer if necessary  
  • Clarify business related questions / questions on the requirements with the Solution / Product Owner  


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