Senior Data Engineer

About

Join the team as a Senior Data Engineer and design powerful data solutions in a remote setting. Utilize Databricks on AWS for building and optimizing ETL/ELT pipelines that drive business results.

In this impactful role, you will be responsible for the end-to-end engineering of data pipelines. Your expertise with large datasets and distributed processing will be key in overcoming technical challenges and influencing crucial architectural decisions. Collaboration with product and analytics teams will ensure that data solutions align tightly with business needs.

Transform business needs into high-quality data solutions while supporting a talent pipeline for future engagements.

Key Responsibilities

• Build and maintain scalable ETL/ELT pipelines using Databricks
• Manage complex data sets in production environments
• Develop clean, maintainable Python and SQL solutions
• Construct data pipelines from the ground up
• Maintain high standards of data quality and performance

Requirements

• 7+ years’ experience as a Data Engineer
• Strong skills in Python, SQL, PySpark, Databricks, and AWS
• Experience designing comprehensive data pipelines
• Deep knowledge of distributed data systems
• Excellent English communication skills