Data Engineer - Remote

Overview

The Data Engineer is tasked with designing and maintaining data pipelines that reliably move and transform data for analysis. The role is hands-on with the technical infrastructure that supports data warehousing and reporting.

In Short

• Develop and maintain ETL pipelines and data integration processes on a daily basis.
• Optimize database queries and storage solutions to ensure reliable data flows.
• Collaborate in regular scrum meetings with analytics teams to verify data quality.
• Maintain detailed documentation of data processes and monitor for performance issues.
• Perform dimensional data modeling.
• Maintain CI/CD orchestration and pipelines.

Requirements

• 3–7 years of data engineering experience.
• Proficient in SQL, Python, dimensional modeling, and data pipeline design.
• Familiarity with data warehousing concepts and ETL tools.
• Experience with Snowflake Snowpark, Azure Data Factory, Databricks, and the Azure Cloud Ecosystem.
• Understanding of data security and governance best practices.

Benefits

• Innovative work environment.
• Opportunity to work with cutting-edge technology.
• Collaboration with experienced professionals in the field.
• Flexible work arrangements including remote options.
• Health and wellness benefits.