EXUS is hiring a
Data Engineer

Summary

EXUS is seeking a remote Mid-Level Data Engineer to design, implement, test, and maintain data models within their data lake architecture. The ideal candidate should have a background in software engineering, extensive experience with big data technologies, and be familiar with Apache Airflow, Hadoop ecosystem, and major cloud platforms.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 3+ years of experience in a data engineering role, preferably with exposure to data lake environments
• Well-skilled in SQL and Python for complex queries and analytics
• Solid understanding of ETL processes and tools
• Extensive experience with Hadoop ecosystem, including Hive and Apache Spark for processing large datasets
• Experience with Apache Airflow for workflow management
• Familiarity with major cloud platforms (AWS, Azure)
• Ability to work in a team environment and collaborate on projects
• Excellent problem-solving and troubleshooting skills
• Strong communication and organizational skills

Responsibilities

• Design, implement, test, and maintain data models within our data lake architecture to support advanced analytics
• Implement processes that ensure models are scalable, maintainable, and optimized for high performance
• Design and manage workflows using Apache Airflow
• Collaborate with data architects, analytic engineers, software engineers, and IT team members to achieve project goals

Preferred Qualifications

Certifications in Big Data technologies and cloud platforms are strongly preferred

Benefits

• Competitive salary
• Friendly, pleasant, and creative working environment
• Remote Working
• Development Opportunities
• Private Health Insurance