Data Engineer

Responsibilities

• Build and optimize scalable data pipelines and data models
• Work with large datasets and cloud platforms to deliver business outcomes
• Design and deliver enterprise-scale data platforms
• Process and analyze large datasets using modern engineering practices

Requirements

• 6+ years of experience as a Data Engineer
• Strong hands-on experience with PySpark and DataFrames
• Advanced proficiency in SQL
• Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or a related technical field
• Ability to clearly articulate use cases and business impact

Preferred Qualifications

• Experience working on Google Cloud Platform (GCP)
• Strong background in large-scale data engineering and data modelling
• Exposure to business intelligence solutions

About the Company

NucleusTeq provides modern data engineering practices and enterprise data solutions, fostering a positive, inclusive, and supportive environment that values flexibility and professional growth.