Data Engineer

Role Overview

As a Data Engineer, you will build and operate scalable data solutions that enable reliable data flows across systems. You’ll work closely with cross-functional teams to understand requirements, ensure data quality, and contribute to data architecture.

Responsibilities

• Develop and maintain scalable data pipelines
• Implement and optimize data storage solutions
• Collaborate with cross-functional teams to understand data requirements
• Ensure data quality and integrity across all systems
• Contribute to the design and architecture of data solutions
• Troubleshoot and resolve data-related issues

Requirements

• 5+ years hands-on experience with Databricks
• 3+ years in data modeling, ETL/ELT, and distributed data processing
• 5+ years experience with Spark and Snowflake
• 5+ years experience with Python
• Strong communication skills in fast-paced environments

Nice-to-haves

• Familiarity with data governance, metadata management, or data quality frameworks

What’s Offered

• Opportunity to work on challenging, innovative data projects
• Collaboration with a global, dynamic team
• Professional growth and skill development