Senior Data Engineer - Remote

Overview

The Data Engineer plays a crucial role in our organization by building robust data ingestion pipelines and integrating data into usable datasets. This position is essential for ensuring that our finance and accounting teams have access to accurate and efficient data. The ideal candidate will work closely with data architects and other stakeholders to create refined data objects, leveraging technologies such as Snowflake on Azure and DBT as the primary coding platform. This role requires a self-starter who can quickly understand data schemas and proactively address issues, contributing to the overall success of our data initiatives.

In Short

• Build and maintain data ingestion pipelines for finance and accounting.
• Collaborate with data architects to design refined data objects.
• Ensure data accuracy and efficiency through established processes.
• Develop and maintain data models for business intelligence.
• Manage deployment processes for data pipelines and models.
• Quickly understand and adapt to existing data schemas.
• Help structure the Python environment for API ingestion.
• Proactively resolve issues in the data ingestion process.

Requirements

• Experience with Snowflake and Azure.
• Proficiency in DBT and Python.
• Strong understanding of data schemas.
• Ability to work collaboratively with team members.
• Experience in data modeling and business intelligence.

Benefits

• Opportunity to work on critical data initiatives.
• Collaborative work environment with talented professionals.
• Access to modern technologies and tools.