Data Consultant - GCP Data Engineer - Remote

Overview

As a GCP Data Engineer at Kyndryl, you will design and develop data pipelines, participate in architectural discussions, and implement data solutions in a cloud environment using GCP data services.

In Short

• Design, develop, and maintain scalable data pipelines using GCP services.
• Participate in architectural discussions and system analysis.
• Collaborate with stakeholders to gather requirements.
• Design data models for transactional and big data environments.
• Build and optimize ETL/ELT infrastructure.
• Develop and maintain Python / PySpark for data processing.
• Monitor and troubleshoot data pipeline issues.
• Implement data governance and security best practices.
• Provide design expertise in Master Data Management.
• Support DevOps automation efforts.

Requirements

• Bachelor’s or master’s degree in computer science, Engineering, or related field.
• Over 8 years of experience in data engineering.
• More than 3 years of experience with the GCP data ecosystem.
• Strong proficiency in GCP components such as Dataflow and BigQuery.
• Excellent command of SQL for complex queries.
• Strong programming skills in PySpark and/or Python.
• Knowledge of data governance and compliance best practices.
• Excellent problem-solving and analytical skills.
• Ability to manage multiple projects simultaneously.
• Effective communication skills with technical and non-technical stakeholders.

Benefits

• Opportunities for personal and professional development.
• Hands-on experience and learning opportunities.
• Access to certifications in major platforms.
• Support for well-being and family needs.
• Engagement in company-wide volunteering initiatives.