Data Engineer - Remote

Overview

As a Data Engineer at Keyloop, you will work within the Analytics Engineering team to maintain and develop our Data Lake and existing Data Pipelines. You will explore, analyze, and propose improvements to existing processes and tooling, contributing your expert knowledge of data and business intelligence.

In Short

• Design, build and maintain scalable ETL/ELT pipelines.
• Collaborate with Analytics Engineers on data models.
• Manage and optimize the data warehouse.
• Implement data validation and monitoring mechanisms.
• Provide technical guidance to team members.
• Document processes for training and continuity.
• Understand the data landscape and compliance laws.
• Mentor junior analysts and engineers.
• Work in a multi-functional team.
• Communicate effectively with stakeholders.

Requirements

• Experience with AWS cloud platform.
• Proficiency in SQL and Python.
• Hands-on experience with data warehouse platforms.
• Understanding of data warehousing concepts.
• Familiarity with data pipeline orchestration tools.
• Experience with version control systems.
• Knowledge of data governance principles.
• High standard of problem-solving skills.
• Excellent time management skills.
• Team player with good communication skills.

Benefits

• Opportunity to work with cutting-edge technology.
• Collaborative work environment.
• Mentoring and growth opportunities.
• Engagement in innovative projects.
• Exposure to the automotive industry.